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	<title><![CDATA[BOL: Related items]]></title>
	<link>https://bioinformaticsonline.com/related/36281?offset=350</link>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/35423/jrf-at-jaypee-institute-of-information-technology-jiit-noida-department-of-biotechnology</guid>
  <pubDate>Fri, 02 Feb 2018 11:26:14 -0600</pubDate>
  <link></link>
  <title><![CDATA[JRF at Jaypee Institute of Information Technology (JIIT), Noida Department of Biotechnology]]></title>
  <description><![CDATA[
<p>Lab of Dr. Rawal is supported by generous grants to build advanced applications in emerging areas of cancer genomics, network sciences, vaccine development and epidemiology. The lab has dedicated high end Xeon servers, desktops, &amp; laptops for research purpose. Currently, there are several researchers (JRFs, B. Techs, M. Tech and PhDs) working on several challenging bioinformatics projects. In addition, Dr. Rawal has collaborations with reputed national and international research teams.</p>

<p>Dr. Rawal and his US based collaborators have recently secured grant for development of vaccine against an infectious disease agent. For this project, applications are invited for the posts of Junior Research Fellow (two positions) for the following time-bound sponsored projects as per the details given below:</p>

<p>PI: Dr. Kamal Rawal, Biotechnology Department, JIIT, Noida.</p>

<p>Post: JRF (Two)</p>

<p>Job Description: Bioinformatics analysis, Software development, Programming, Text Mining, Deep Curation</p>

<p>Duration: The post is valid upto duration of the project. Continuation is subject to satisfactory performance.</p>

<p>Emoluments depends upon experience and skill sets. We will hire them on following scale:</p>

<p>Junior Scale- Level 1: Rs 22000 per month.</p>

<p>Senior Scale - Level 2: Rs 30000 per month.</p>

<p>Essential Qualification(s) for JRF post:</p>

<p>(A) A Master degree (MSc or MTech or equivalent with minimum of 55% marks) in Bioinformatics/Computer Sciences, IT, Life Sciences, Physical Sciences, Chemical Sciences, Mathematical Sciences or Statistics, Agriculture, Veterinary, Medicine, Pharmacy, Engineering &amp; Technology from a recognized University/Institute and having some experience/skills in bioinformatics, programming, computational or software development work.</p>

<p>(B) In exceptional cases, we can also consider candidates with B. Tech or equivalent with right skill sets and experience for the post of JRFs.</p>

<p>Desirable:</p>

<p>A) Preference will be given to BINC (Bioinformatics National Certification)/DBT-BET/ICMR/ CSIR /UGC/ JRF/ NET qualified candidates. However, Non- NET qualified candidates can also apply.<br />B) Candidates who have worked with programing, text mining, NGS data analysis etc are encouraged to apply.<br />Updated resume including a cover letter (preferably by E. mail) should be mailed to bioinfocvatgmaildotcom, and Dr. Kamal Rawal at kamaldotrawalatgmaildotcom. Short listed candidates would be called for interview. No TA/DA will be paid to the candidates called for interview.</p>

<p>Candidate may also fill the following form:</p>

<p>https://docs.google.com/…/1FAIpQLSdZoZ21ZoNRStEeL5…/viewform</p>

<p>Or</p>

<p>http://tinyurl.com/bioinfocv2017</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/35868/simpson-lab</guid>
  <pubDate>Tue, 06 Mar 2018 08:59:09 -0600</pubDate>
  <link></link>
  <title><![CDATA[Simpson Lab]]></title>
  <description><![CDATA[
<p>We are the Statistical Bioinformatics group in the Institute for Adaptive and Neural Computation in the School of Informatics at the University of Edinburgh. The group is led by Dr. Ian Simpson who is a Lecturer in Biological Informatics in the School of Informatics at Edinburgh University. Details to follow....</p>

<p>http://statbio.github.io</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/8385/peng-lab</guid>
  <pubDate>Tue, 18 Feb 2014 13:53:46 -0600</pubDate>
  <link></link>
  <title><![CDATA[Peng Lab]]></title>
  <description><![CDATA[
<p>Peng Lab at Janelia Farm Research Campus, Howard Hughes Medical Institute focuses on data mining for bioinformatics and computational molecular biology, particularly, bioimage data mining and informatics. These bioimages include cellular and molecular images and related medical images. </p>

<p>* Analysis of Gene Expression Pattern Images: high-performance image analysis and mining for different model organisms, such as fruitfly, C. elegans, and mouse;<br />* Feature/Model Learning: developing algorithms and software</p>

<p>Location :Janelia Farm Research Campus, Howard Hughes Medical Institute, Ashburn, Virginia, USA.</p>

<p>http://research.janelia.org/peng/</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/37618/snakemake%E2%80%94a-scalable-bioinformatics-workflow-engine</guid>
	<pubDate>Sun, 02 Sep 2018 16:32:42 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/37618/snakemake%E2%80%94a-scalable-bioinformatics-workflow-engine</link>
	<title><![CDATA[Snakemake—a scalable bioinformatics workflow engine]]></title>
	<description><![CDATA[<p><span>Snakemake is a workflow engine that provides a readable Python-based workflow definition language and a powerful execution environment that scales from single-core workstations to compute clusters without modifying the workflow.&nbsp;</span></p><p>Address of the bookmark: <a href="https://bioconda.github.io/recipes/snakemake/README.html" rel="nofollow">https://bioconda.github.io/recipes/snakemake/README.html</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/8442/assistant-professor-king-saud-university-riyadh</guid>
  <pubDate>Fri, 21 Feb 2014 05:57:18 -0600</pubDate>
  <link></link>
  <title><![CDATA[Assistant Professor @ King Saud University Riyadh]]></title>
  <description><![CDATA[
<p>Qualifications: Candidates must have a Ph.D. and a strong background in Molecular and Cellular Biology, protein expression, FACS, or computational biology, and ability to work collaboratively.</p>

<p>This position will have a significant focus on providing analytical support for next generation sequencing data analysis – Exome-sequencing, Targetted sequencing as well as high-throughput genotyping on Illumina platform.</p>

<p>Job location:</p>

<p>Genome Research Chair<br />King Saud University, Riyadh-11451<br />KSA</p>

<p>Interested candidate may forward their CV to grcksu@gmail.com</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/blog/view/39469/introduction-to-bioinformatics</guid>
	<pubDate>Wed, 05 Jun 2019 14:58:11 -0500</pubDate>
	<link>https://bioinformaticsonline.com/blog/view/39469/introduction-to-bioinformatics</link>
	<title><![CDATA[Introduction to Bioinformatics]]></title>
	<description><![CDATA[<p><img src="https://edu.t-bio.info/wp-content/uploads/2017/07/Introduction-Course-Title-11.jpg" alt="Introduction to Bioinformatics Course" width="600" height="315.6" style="vertical-align: top; border: 0px; border: 0px;"></p><p>Introduction to bioinformatics is a course for biologists and clinicians that would like to learn more about the way bioinformatics is used in healthcare, biotech and pharmaceuitcal industry as well as basic research. The course covers many of the topics transformed by the emergence of big data and computational technologies. To learn more about the course, visit:&nbsp;<a href="https://edu.t-bio.info/course/introduction-bioinformatics/">https://edu.t-bio.info/course/introduction-bioinformatics/</a></p>]]></description>
	<dc:creator>eliabrodsky</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/12868/landry-lab</guid>
  <pubDate>Thu, 17 Jul 2014 14:33:57 -0500</pubDate>
  <link></link>
  <title><![CDATA[Landry Lab]]></title>
  <description><![CDATA[
<p>EVOLUTIONARY AND INTEGRATIVE CELL BIOLOGY</p>

<p>Our research is at the crossroad between cell biology, ecological genomics, systems biology, molecular evolution and population genetics. We study the architecture and evolution of protein and signalling networks.</p>

<p>More at http://landrylab.ibis.ulaval.ca/</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/40881/liu-lab</guid>
  <pubDate>Tue, 04 Feb 2020 06:27:02 -0600</pubDate>
  <link></link>
  <title><![CDATA[Liu Lab]]></title>
  <description><![CDATA[
<p>Shirley is a computational biologist with expertise in cancer epigenetics. Her research focuses on algorithm development and integrative mining from big data generated on microarrays, massively parallel sequencing, and other high throughput techniques to model the specificity and function of transcription factors, chromatin regulators and lncRNAs in tumor development, progression, drug response and resistance.</p>

<p>https://liulab-dfci.github.io/software/</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/8970/j-aires-de-sousa-research-group</guid>
  <pubDate>Wed, 12 Mar 2014 09:57:25 -0500</pubDate>
  <link></link>
  <title><![CDATA[J. Aires de Sousa Research Group]]></title>
  <description><![CDATA[
<p>We are involved in the development of methods and software in chemoinformatics. Current main projects are:</p>

<p>1.automatic learning of chemical reactivity and metabolism,<br />2.simulation of NMR spectra,<br />3.modelling of properties of ionic liquids, and<br />4.representation of molecular chirality.</p>

<p>More at http://joao.airesdesousa.com/</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/41202/biocontainers</guid>
	<pubDate>Thu, 20 Feb 2020 05:29:46 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/41202/biocontainers</link>
	<title><![CDATA[BioContainers]]></title>
	<description><![CDATA[<p><span>BioContainers is a community-driven project that provides the infrastructure and basic guidelines to create, manage and distribute bioinformatics packages (e.g conda) and containers (e.g docker, singularity). BioContainers is based on the popular frameworks&nbsp;</span><a href="https://conda.io/">Conda</a><span>,&nbsp;</span><a href="https://www.docker.com/">Docker</a><span>&nbsp;and&nbsp;</span><a href="https://www.sylabs.io/docs/">Singularity</a><span>.</span></p><p>Address of the bookmark: <a href="https://biocontainers.pro/#/" rel="nofollow">https://biocontainers.pro/#/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

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