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<channel>
	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/28855?offset=1140</link>
	<atom:link href="https://bioinformaticsonline.com/related/28855?offset=1140" rel="self" type="application/rss+xml" />
	<description><![CDATA[]]></description>
	
	
<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/20677/postdoctoral-researcher-at-department-of-biotechnology-catholic-university-of-daegu-kyungsan-kyungbuk-south-korea</guid>
  <pubDate>Thu, 29 Jan 2015 12:11:16 -0600</pubDate>
  <link></link>
  <title><![CDATA[Postdoctoral Researcher at Department of Biotechnology, Catholic University of Daegu, Kyungsan, Kyungbuk, South Korea.]]></title>
  <description><![CDATA[
<p>Applications are invited from Indian nationals for a Post Doctoral position at Molecular Medical Laboratory, Department of Biotechnology, Catholic University of Daegu, Kyungsan, Kyungbuk, South Korea.</p>

<p>Qualification required: PhD in Life Sciences/ Molecular Biology/ Bioinformatics or related discipline.</p>

<p>Desirable Qualification:</p>

<p>1. Candidates having experience in molecular biology techniques and must be well versed with bioinformatics tool or expert in relevant fields will be preferred.<br />2. The candidate should have good communication skill, knowledge about designing experiments and analyzing data.<br />3. Sense of initiative, autonomy, organization and thoroughness, good relation qualities.<br />Remuneration: 2000USD per month.</p>

<p>Last date of submitting the complete applications furnishing Bio-data is 10th February, 2015.</p>

<p>Interested candidates should send their resume including all personal as well as academic details to the principal investigator Prof Seung-Won Park (email:microsw@cu.ac.kr)</p>

<p>The shortlisted candidates will be intimated within February 2015.</p>
]]></description>
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<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/38535/nanopack-visualizing-and-processing-long-read-sequencing-data</guid>
	<pubDate>Tue, 25 Dec 2018 21:20:50 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/38535/nanopack-visualizing-and-processing-long-read-sequencing-data</link>
	<title><![CDATA[NanoPack: visualizing and processing long-read sequencing data]]></title>
	<description><![CDATA[The NanoPack tools are written in Python3 and released under the GNU GPL3.0 License. The source code can be found at https://github.com/wdecoster/nanopack, together with links to separate scripts and their documentation. The scripts are compatible with Linux, Mac OS and the MS Windows 10 subsystem for Linux and are available as a graphical user interface, a web service at http://nanoplot.bioinf.be and command line tools.<p>Address of the bookmark: <a href="https://github.com/wdecoster/nanopack" rel="nofollow">https://github.com/wdecoster/nanopack</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/22438/research-associate-nbfgr-lucknow-uttar-pradesh</guid>
  <pubDate>Thu, 28 May 2015 19:37:22 -0500</pubDate>
  <link></link>
  <title><![CDATA[Research Associate NBFGR - Lucknow, Uttar Pradesh]]></title>
  <description><![CDATA[
<p>NBFGR, Lucknow is recruiting Bioinformatics experts for the post of Research Associate</p>

<p>Name of Position : Research Associate<br />No of Post : One<br />Desired candidate Profile : Candidate should be PhD in Bioinformatics or equivalent or Post-Graduation Bioinformatics with 1st division or 60% marks. Preference will be given to candidates having experience in server management<br />Remuneration : Rs 24000/- pm + HRA for PhD holders<br />Age requirement- 40 years (5 years relaxation for SC/ST/women candidates and 3 years for OBC candidates) as on date of interview.</p>

<p>How to apply- Interested candidates can walk -in-interview on 30.05.2015 at 10:00 hrs at National Bureau of Fish Genetic Resources, Lucknow.</p>

<p>Ref- http://www.nbfgr.res.in/PDF/News%20&amp;%20Events/Walk%20in%20interview%20on%2030.05.2015.pdf</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40699/kevler-reference-free-variant-discovery-in-large-eukaryotic-genomes</guid>
	<pubDate>Tue, 28 Jan 2020 03:21:53 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40699/kevler-reference-free-variant-discovery-in-large-eukaryotic-genomes</link>
	<title><![CDATA[Kevler: Reference-free variant discovery in large eukaryotic genomes]]></title>
	<description><![CDATA[<p><span>Welcome to&nbsp;</span><span>kevlar</span><span>, software for predicting&nbsp;</span><em>de novo</em><span>&nbsp;genetic variants without mapping reads to a reference genome! kevlar's&nbsp;</span><em>k</em><span>-mer abundance based method calls single nucleotide variants (SNVs), multinucleotide variants (MNVs), insertion/deletion variants (indels), and structural variants (SVs) simultaneously with a single simple model.&nbsp;</span></p>
<p><span>More at&nbsp;<a href="https://kevlar.readthedocs.io/en/latest/">https://kevlar.readthedocs.io/en/latest/</a></span></p>
<p><span><a href="https://www.cell.com/iscience/pdf/S2589-0042(19)30259-7.pdf">https://www.cell.com/iscience/pdf/S2589-0042(19)30259-7.pdf</a></span></p><p>Address of the bookmark: <a href="https://github.com/kevlar-dev/kevlar" rel="nofollow">https://github.com/kevlar-dev/kevlar</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/21021/ra-bioinformatics-at-iiser</guid>
  <pubDate>Fri, 06 Feb 2015 04:05:49 -0600</pubDate>
  <link></link>
  <title><![CDATA[RA Bioinformatics at IISER]]></title>
  <description><![CDATA[
<p>Advertisement: Research Position in Computational Biology in the group of Shree P. Pandey Positions available in the area of NGS data analysis, bioinformatics, plant genomics Project Description: Projects involves high throughput analysis of data mostly generated by massively parallel sequencing (RNA-Seq and small-RNA-Seq), microarrays and related platforms.</p>

<p>We are looking for highly motivated and bright individuals interested in high-throughput cutting-edge data analyses methods in genomics (computational positions). Available positions:</p>

<p>Applications are invited from suitable candidates in both, the Max Planck India Partner Program and the CRP Wheat Program for openings at the levels:</p>

<p>Minimum qualification Salary scale (per month)</p>

<p>Project assistant Bachelor’s / Master’s Rs. 10000 / Rs. 14000</p>

<p>Project fellow (junior data analyst) Masters + research experience Rs. 16000</p>

<p>Research fellow (senior data analyst) Masters + adequate research experience/desirable skill sets Rs. 22000</p>

<p>Research Associated PhD (&lt;1yr) / &gt; 1 yr experience Rs. 28000 / Rs. 32000</p>

<p>Condition to satisfactory performance, availability of funds and requirements of the project, the positions could be available upto a period of ~2 years (or funding of the project).</p>

<p>Essential qualification: MSc/BTech/MTech/PhD (or other suitable qualification) in discipline related to bioinformatics, computational biology, computer application (or equivalent)/ ‘Advance PostGraduate Diploma in Bioinformatics’. Proficiency in one of the programming languages or statistics (proficient in R for example) is compulsory.</p>

<p>Desirable qualification:</p>

<p>1. Programming experiences in at least one low level language such as C/C++ and one scripting language such as Perl/Python/PHP and knowledge of SQL/MySQL.</p>

<p>2. Substantial experience in the linux or other unix environments.</p>

<p>Application process: Applications should contain CV along with brief description (maximum 1 page) of research conducted (highlighting skills and experience) till now. Applications should be sent by email to Shree P. Pandey, Department of Biological Sciences, IISER-Kolkata, Mohanpur Campus, West Bengal within 2 weeks (Feb 19th 2015). E-mail: sppiiserkol@gmail.com, sppandey@iiserkol.ac.in Brief description of the group: We are an interdisciplinary group focusing on small-RNA (miRNA, siRNA) mediated regulation of signaling and defense. Project equally involve bioinformatics and systems biology (specially microarrays and next-generation sequencing (NGS) data analysis and its use), along with plant molecular biology, genetic engineering, field biology, and analytical plant chemistry for understanding response of plants to biotic stresses. For more details visit: http://www.iiserkol.ac.in/~sppandey/</p>

<p>Advertisement:</p>

<p>www.iiserkol.ac.in/images/iiserk/advertisements/advertisement_7_spp_feb_2015.pdf</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/120/user</guid>
	<pubDate>Wed, 10 Jul 2013 14:41:49 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/120/user</link>
	<title><![CDATA[useR!]]></title>
	<description><![CDATA[<p><span>The R project actively supports two conference series, organized regularly by members from the R community: useR! - providing a forum to the R user community - and DSC - a platform for developers of statistical software.</span></p><p><span>Recently useR! conference have been organized&nbsp;<span>University of Castilla-La Mancha, Albacete, Spain.</span></span></p><p><a href="http://www.edii.uclm.es/~useR-2013//">http://www.edii.uclm.es/~useR-2013//</a></p><p>&nbsp;</p>]]></description>
	<dc:creator>Jitendra Narayan</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/21065/ra-bioinformatics-at-north-eastern-hill-university</guid>
  <pubDate>Sat, 07 Feb 2015 06:06:05 -0600</pubDate>
  <link></link>
  <title><![CDATA[RA Bioinformatics at North Eastern Hill University]]></title>
  <description><![CDATA[
<p>Bioinformatics Infrastructure Facility, Department of RDAP, NEHU vacancy of Research Associate</p>

<p>Name of the Post: Research Associate<br />No. of the Post: 01 One<br />Age Limit: Max. 35 years<br />Salary: Rs. 22000/- per month plus HRA</p>

<p>Required Job Profile:<br />Candidate must possess M.Sc. in bioinformatics or biotechnology from recognized university or institute.<br />Desired Job Profile;<br />Candidate having Ph.D. or pursuing Ph.D. in the related subject or equivalent published work in reputed peer reviewed journals or advance PG dipoma in bioinformatics course.</p>

<p>How to apply:<br />Eligible and interested candidates should need to send the bio-data and bring all related documents in original and set of attested copies of the same in the time of interview.</p>

<p>Last date: 16.02.2015<br />Refer to http://www.nehu.ac.in/Advertisements/BIFTuraAdvt_221214.pdf</p>

<p>Summary <br />Employer Address:	Dr.B.K. Mishra Coordinator BIF, RDAP Department, North Eastern Hill University, Tura Campus, Tura, Meghalaya<br />Email:	drbkm1972@yahoo.co.in;birendramishra14@gmail.com<br />URL:	http://www.nehu.ac.in/Advertisements/BIFTuraAdvt_221214.pdf<br />Phone:	03651-223107<br />Required Skills:	not mentioned / required for this post<br />Required Experience:	not mentioned / required for this job post<br />Required Education:	M.Sc. in bioinformatics or biotechnology from recognized university or institute.<br />Job Location:	Tura, Meghalaya, India</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/news/view/5894/rna-seq-data-pathway-and-gene-set-analysis-workflows</guid>
	<pubDate>Fri, 25 Oct 2013 08:00:48 -0500</pubDate>
	<link>https://bioinformaticsonline.com/news/view/5894/rna-seq-data-pathway-and-gene-set-analysis-workflows</link>
	<title><![CDATA[RNA-Seq Data Pathway and Gene-set Analysis Workflows]]></title>
	<description><![CDATA[<p>It describe the GAGE (Luo et al., 2009) /Pahview (Luo and Brouwer, 2013) workflows on&nbsp;RNA-Seq data pathway analysis and gene-set analysis.&nbsp;<span>The gage package (2.12.0) now includes a new tutorial, &ldquo;RNA-Seq Data Pathway and Gene-set Analysis Workflows&ldquo;.</span></p><p>First cover a full workflow from preparation, reads counting, data preprocessing, gene set test, to pathway visualization in about 40 lines of codes. The same workflow can be used for GO analysis or other types of gene set analysis too. We also describe joint workflows, i.e. to do gene-level analysis using one of the major RNA-Seq analysis tools, DEseq/DEseq2, edgeR, limma and Cufflinks, and feed the results into GAGE/Pahview for pathway analysis or visualization. All these workflows are implemented in R/Bioconductor.</p><p>The work ows cover the most common situations and issues for RNA-Seq data pathway analysis. Issues like&nbsp;data quality assessment are relevant for data analysis in general yet out the scope of this tutorial. Although we&nbsp;focus on RNA-Seq data here, but pathway analysis work ow remains similar for microarray, particularly step&nbsp;3-4 would be the same. Please check gage and pathview vigenttes for details.</p><p>Note: You need to update to current release versions of R(3.0.2)/ Bioconductor(2.13) to use all the features.&nbsp;</p><p>Reference:&nbsp;</p><p>Please check it out:<br /><a href="http://bioconductor.org/packages/release/bioc/html/gage.html">http://bioconductor.org/packages/release/bioc/html/gage.html</a><br /><a href="http://bioconductor.org/packages/release/bioc/vignettes/gage/inst/doc/RNA-seqWorkflow.pdf">http://bioconductor.org/packages/release/bioc/vignettes/gage/inst/doc/RNA-seqWorkflow.pdf</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/22454/one-page-r-survival-guide</guid>
	<pubDate>Thu, 28 May 2015 21:10:12 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/22454/one-page-r-survival-guide</link>
	<title><![CDATA[One page R survival guide !!]]></title>
	<description><![CDATA[<p><span style="font-style: normal; color: #000000; float: none;">There any many of the documents have been developed and tested by scientist around the world. I found this one really useful. The data used is available for download as<span>&nbsp;</span></span><a href="http://onepager.togaware.com/data.zip">data.zip</a><span style="font-style: normal; color: #000000; float: none;">.</span></p><p><span style="font-style: normal; color: #000000; float: none;">Reference@http://www.datasciencecentral.com/profiles/blogs/one-page-r-a-survival-guide-to-data-science-with-r</span></p><ul>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Templates for the Data Scientist<ol style="margin: 0px; padding: 0px 0px 0px 1.5em; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">A Template for Preparing Data:</span><span>&nbsp;</span>*<a href="http://onepager.togaware.com/DataO.pdf">OnePageR</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/DataO.R">R</a></li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">A Template for Building Models:</span><span>&nbsp;</span>*<a href="http://onepager.togaware.com/ModelsO.pdf">OnePageR</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/ModelsO.R">R</a></li>
</ol></li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Getting Started as a Data Scientist<ol style="margin: 0px; padding: 0px 0px 0px 1.5em; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Getting Started with R and Rattle:</span><span>&nbsp;</span>*<a href="http://onepager.togaware.com/StartL.pdf">Lecture</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/StartG.pdf">Laboratory</a></li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Introducing and Interacting with R:</span><span>&nbsp;</span>*<a href="http://onepager.togaware.com/IntroRL.pdf">Lecture</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/IntroRR.pdf">Laboratory</a></li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">BasicR - OnePage(R) - Writing R scripts</li>
</ol></li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Dealing With Data<ol style="margin: 0px; padding: 0px 0px 0px 1.5em; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Read Data into R:</span><span>&nbsp;</span>*<a href="http://onepager.togaware.com/ReadO.pdf">OnePageR</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/ReadO.R">R</a></li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Explore and Summarise Data:</span><span>&nbsp;</span>*<a href="http://onepager.togaware.com/SummaryO.pdf">OnePageR</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/SummaryO.R">R</a></li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Transform Data:</span><span>&nbsp;</span>*<a href="http://onepager.togaware.com/TransformO.pdf">OnePageR</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/TransformO.R">R</a></li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><a href="http://togaware.com/onepager/DateTimeRB"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Dealing with Dates and Time:</span></a><span>&nbsp;</span>(<a href="http://onepager.togaware.com/DateTimeR.pdf">PDF</a>,<span>&nbsp;</span><a href="http://onepager.togaware.com/DateTimeR.R">R</a>) Dates and Time</li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Visualising Data with GGPlot2:</span><span>&nbsp;</span>*<a href="http://onepager.togaware.com/GGPlot2O.pdf">OnePageR</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/GGPlot2O.R">R</a></li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Visualising Data with Maps</span><span>&nbsp;</span>*<a href="http://togaware.com/onepager/MapsO.pdf">OnePageR</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/MapsO.R">R</a></li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Spatial<span>&nbsp;</span>(R) Spatial Analysis</li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Handling Big Data</span><span>&nbsp;</span>*<a href="http://onepager.togaware.com/BigDataO.pdf">OnePageR</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/BigData.R">R</a></li>
</ol></li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Descriptive Analytics<ol style="margin: 0px; padding: 0px 0px 0px 1.5em; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Cluster Analysis:</span><span>&nbsp;</span>*<a href="http://togaware.com/onepager/ClustersL.pdf">Lecture</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/ClustersO.pdf">OnePageR</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/Clusters.R">R</a></li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Association Analysis:</span><span>&nbsp;</span>*<a href="http://togaware.com/onepager/ARulesL.pdf">Lecture</a></li>
</ol></li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Predictive Analytics<ol style="margin: 0px; padding: 0px 0px 0px 1.5em; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Decision Trees:</span><span>&nbsp;</span>*<a href="http://togaware.com/onepager/DTreesL.pdf">Lecture</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/DTreesO.pdf">OnePageR</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/DTreesO.R">R</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/DTreesG.pdf">Rattle</a></li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Ensembles of Decision Trees:</span><span>&nbsp;</span>*<a href="http://onepager.togaware.com/EnsemblesL.pdf">Lecture</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/EnsemblesO.pdf">OnePageR</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/EnsemblesO.R">R</a></li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">SVM (R)</li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">KernLab (R)</li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">NeuralNetworks (R)</li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">NNet (R)</li>
</ol></li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Model Delivery<ol style="margin: 0px; padding: 0px 0px 0px 1.5em; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Evaluating Models:</span><span>&nbsp;</span>*<a href="http://onepager.togaware.com/EvaluationO.pdf">OnePageR</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/EvaluationO.R">R</a></li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Evaluation (R)</li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Scoring (R)</li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">PMML (R) Exporting Models for Deployment</li>
</ol></li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Advanced Topics<ol style="margin: 0px; padding: 0px 0px 0px 1.5em; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Text Mining:</span><span>&nbsp;</span>*<a href="http://onepager.togaware.com/TextMiningO.pdf">OnePageR</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/TextMiningO.R">R</a></li>
</ol></li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Advanced R Topics<ol style="margin: 0px; padding: 0px 0px 0px 1.5em; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><a href="http://togaware.com/onepager/PlotsB"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Plots</span></a><span>&nbsp;</span>(<a href="http://onepager.togaware.com/Plots.pdf">PDF</a>,<span>&nbsp;</span><a href="http://onepager.togaware.com/Plots.R">R</a>) Miscellaneous Plots</li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><a href="http://togaware.com/onepager/FunctionsB"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Functions</span></a><span>&nbsp;</span>(<a href="http://onepager.togaware.com/Functions.pdf">PDF</a>,<span>&nbsp;</span><a href="http://onepager.togaware.com/Functions.R">R</a>) Writing Functions in R</li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><a href="http://togaware.com/onepager/ParallelB"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Parallel</span></a><span>&nbsp;</span>(<a href="http://onepager.togaware.com/Parallel.pdf">PDF</a>,<span>&nbsp;</span><a href="http://onepager.togaware.com/Parallel.R">R</a>) Parallel Execution</li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Packaging (R) Pulling it Together into a Package</li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Doing R with Style:</span><span>&nbsp;</span>*<a href="http://onepager.togaware.com/StyleO.pdf">OnePageR</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/StyleO.R">R</a></li>
<li style="margin: 0px; padding: 0px; border: 0px currentColor; font-style: inherit; font-weight: inherit; vertical-align: baseline;"><span style="margin: 0px; padding: 0px; border: 0px none currentcolor; font-style: inherit; font-weight: inherit; vertical-align: baseline;">Literate Data Mining with KnitR:</span><span>&nbsp;</span>*<a href="http://togaware.com/onepager/KnitRL.pdf">Lecture</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/KnitRO.pdf">OnePageR</a><span>&nbsp;</span>- *<a href="http://onepager.togaware.com/KnitRO.R"></a></li>
</ol></li>
</ul>]]></description>
	<dc:creator>Rahul Nayak</dc:creator>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/21435/ra-walk-in-interview-nbfgr-lucknow</guid>
  <pubDate>Tue, 24 Feb 2015 08:23:48 -0600</pubDate>
  <link></link>
  <title><![CDATA[RA WALK-IN-INTERVIEW @ NBFGR, Lucknow]]></title>
  <description><![CDATA[
<p>F.No. 1(122)/2015-Admn. (CABin Project)<br />Research Associate/Young Professional/SRF Zoology job vacancies in National Bureau of Fish Genetic Resources (NBFGR)<br />Post Name: Research Associate (Computer Science/ Applications)                <br />Qualification: Ph.D. In Computer Science/Computer Applications or equivalent. Or Post-Graduation in Computer Science/ Computer Applications with 1st Division or 60% marks or equivalent overall grade point average with at least two years of research experience. Desirable: 1. Expertise and experience of working/ handling High Performance Computing (H PC) and genomic resource data. 2. Expertise on database management, data mining technologies/ softwares/tools. 3. Published Research papers	<br />No.of Post: 1<br />Pay Scale: Consolidated Rs.24,000/- p.m. + HRA (as admissible) for Ph.D. holders and consolidated `23,000/- + HRA (as admissible) for Master degree holder.	<br />Age:40 years</p>

<p>Young Professional II (Computer Science/Applications)	<br />Master degree in Computer Science/Computer Applications/B.Tech (Computer Science) or equivalent. <br />Desirable: 1. Knowledge of Statistical and Computational Genomics/ Proteomics/ Bioinformatics/Data mining tools. 2. Experience in handling HPC, programming languages and database management packages.	<br />A consolidated salary of Rs.25,000/- per month.	<br />21 to 45 year</p>

<p>Young Professional II (Biotechnology/ Bioinformatics)	<br />Master degree in Bioinformatics/ Biotechnology/ B. Tech(Biotech) or equivalent. Desirable: 1. Knowledge of Computational Genomics/Proteomics/Bioinformatics. 2. Expertise in NGS data analysis and knowledge of allied software and tools.	<br />A consolidated salary of Rs.25,000/- per month.	</p>

<p>Senior Research Fellow	<br />1. Bachelors degree with Zoology, Fisheries and 2. Master's degree in Fishery science/ Zoology with Fisheries/ Biotechnology/ Life Sciences with specialization in Fisheries/ Molecular Biology. 3. 1 st Division or 60% marks or equivalent overall grade point average. <br />Desirable: Work experience in Fisheries, molecular research techniques, bioinformatics and Computer skills. NET qualified <br />Note: The project involves extensive exploration tours and sampling from water bodies all over India	<br />Rs.16,000/- p.m. for 1st &amp; 2nd year and `18,000/- p.m. for 3rd and subsequent years +HRA (as per rules)	35 years for male and 40 years for female candidate</p>

<p>How to apply</p>

<p>A walk-in-interview will be held on 04th March, 2015 at 10:00 hrs at National Bureau of Fish Genetic Resources, Lucknow. Eligible and desirous candidates fulfilling all the requirements may appear for the interview with duly filled in application giving full details of academic records and experience(s) along with attested photocopy as well as original copy of the relevant documents and a passport size photograph on the attached proforma.</p>

<p>http://www.nbfgr.res.in/</p>
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