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	<link>https://bioinformaticsonline.com/related/40369?offset=360</link>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/25309/research-development-informatics-officer</guid>
  <pubDate>Sun, 29 Nov 2015 03:47:34 -0600</pubDate>
  <link></link>
  <title><![CDATA[Research &amp; Development - Informatics Officer]]></title>
  <description><![CDATA[
<p>Research &amp; Development - Informatics Officer<br />Centre for Innovative and Applied Bioprocessing - Mohali, Punjab<br />(Area Coverage: Database and Research Analysis, Documentation, Research Reference, Document &amp; Domain Knowledge Library, Application Programs)<br />Rs. 15600-39100 (PB-3) + Rs. 6600 (Grade Pay)<br />(Higher start within the scale is possible for a deserving case)<br />One Position (Unreserved)<br />Age limit: 45 Years</p>

<p>Essential Qualifications:<br />First class M. Tech or M.E. in computer science or information technology or bioinformatics with 4 years of R&amp;D experience (after Master’s Degree) in an R&amp;D organization with work profile of large data assembly, analysis, and/or customer/user-based software programming and/or, program implementation, database development evidenced by patents and/or publications, credible scale of R&amp;D related data/data sets submission to public database for expanded use etc. Company Info.<br />Centre for Innovative and Applied Bioprocessing</p>

<p>CENTER OF INNOVATIVE AND APPLIED BIOPROCESSING (A National Institute under Dept. of Biotechnology, Ministry of Science &amp; Technology, Govt. of India) 2nd Floor, C-127, Phase VIII, Industrial Area, S.A.S. Nagar, Mohali-160071(Pb). Additional Information States &amp; U.T State &amp; Union Territories Punjab How To Apply Apply Details<br />Apply directly.. Web/Notification URL http://ciab.res.in/vacancies/CIAB-Rollin g%20Advt-2015.pdf</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/25503/assistant-professor-computational-biology-and-bioinformatics-in-navi-mumbai</guid>
  <pubDate>Fri, 04 Dec 2015 20:40:59 -0600</pubDate>
  <link></link>
  <title><![CDATA[Assistant Professor - Computational Biology and Bioinformatics in Navi Mumbai]]></title>
  <description><![CDATA[
<p>No. ACTREC / ADVT-A/2/2015 <br />Pay in Pay band and Grade Pay : PB-3 (Rs 15,600-39,100) Pay in pay band Rs 21,900+ G.P. of Rs 7,600 <br />Total emoluments = 82,000/- p.m. &amp; nbsp <br />Educational Qualification : Ph.D. or MD/Ph.D. <br />Experience : Post MD / Ph.D. Research experience of 5 years The last date of application submission is January 15th, 2016. <br />Interested candidates shall send the applications through email: office.sao(at)actrec.gov.in. <br />For More Details : www.actrec.gov.in/data%20files/Vacancies/2015/Faculty-Positions-SOE-24-11-15.pdf</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/25674/post-doc-position-at-labgem-evry-france</guid>
  <pubDate>Fri, 11 Dec 2015 06:24:00 -0600</pubDate>
  <link></link>
  <title><![CDATA[Post-doc position at LABGeM - Evry, France]]></title>
  <description><![CDATA[
<p>The LABGeM team (CEA/Genoscope, CNRS UMR 8030, France, Dir. Claudine Médigue) is developing integrated approaches which combines bioinformatics methods based (i) on genomic and metabolic contexts, (ii) on an orignal metabolic network representation and (iii) on a structural classification of active sites for the discovery of new metabolic enzymatic activities.</p>

<p>We are hiring a post-doctoral fellow for the development of innovative bioinformatics methods to explore metabolic networks and enzyme families. These methods will be based on protein family analysis and graph approaches combining genomic and metabolic contexts.</p>

<p>For more details, please see this link : http://goo.gl/tHQOqk</p>

<p>Qualifications:<br />PhD degree in bioinformatics or computational biology<br />- Previous experience in network or protein family analysis<br />- Programming skills (C/C++, Python, Java) and in common biostatistical analyses<br />- Team player, innovative and creative thinking, good oral and written communication skills</p>

<p>24 months, Post Doctoral position<br />Start: from March 2016<br />Place: CEA, Genoscope UMR8030, LABGeM (Laboratory of Bioinformatics Analyses for Genomics and Metabolism), Evry, France<br />Contact: David Vallenet, vallenet@genoscope.cns.fr<br />Publications: https://scholar.google.com/citations?user=rJNPLSAAAAAJ<br />Remuneration per month: from 2,850 €</p>

<p>Interested candidates should send their CV, statement of research interests, and contact information of at least 2 references to David Vallenet (vallenet@genoscope.cns.fr).</p>
]]></description>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/26432/summer-2016</guid>
  <pubDate>Sun, 21 Feb 2016 06:17:55 -0600</pubDate>
  <link></link>
  <title><![CDATA[Summer 2016]]></title>
  <description><![CDATA[
<p>REU at Fordham University- Summer 2016</p>

<p>An NSF-funded REU to study Y-chromosome diversity and sex-biased dispersal in wild brown rats (Rattus norvegicus) is available in the Munshi-South Lab at Fordham University. Our lab is currently investigating rat evolution at scales ranging from landscape genetics of individual cities to global patterns of diversity. Development of resources for investigating Y-chromosome diversity will support many of these studies. The REU student will work with the lab to bioinformatically identify Y-chromosome SNPs, design SNPtype assays,<br />extract DNA, genotype samples, and analyze data.</p>

<p>We seek applicants interested in bioinformatics, evolutionary biology, and related disciplines.  Applicants must have taken a college-level genetics course.  This REU will require attention to detail, reliability, independence, and critical thinking.</p>

<p>This position is based at Fordham University's field station, the Louis Calder Center, in Armonk, NY. The Calder Center is located approximately 25 miles north of New York City in a protected woodland area. Housing<br />will be provided at the Calder Center for the duration of the REU (May 23 to Aug 12, 2016). Additionally, the student will receive a $6,000 stipend. The selected student will participate in professional development activities through the Calder Centers REU program, including presentation of results at a research colloquium at the end of the summer.</p>

<p>To apply, please send a one page personal statement about your scientific interests and how this REU will support your professional goals, unofficial transcripts including a list of Spring 2016 courses, and names of two professional references (including title, address, phone number, and email address) as a single pdf (with your last name in the file name) to Dr. Jason Munshi-South (jmunshisouth@fordham.edu).</p>

<p>Applications are due March 4th, 2016.</p>

<p>Jason Munshi-South</p>
]]></description>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/30198/faculty-at-indian-institute-of-science-education-and-research-berhampur</guid>
  <pubDate>Mon, 19 Dec 2016 03:34:26 -0600</pubDate>
  <link></link>
  <title><![CDATA[Faculty at Indian Institute of Science Education and Research Berhampur]]></title>
  <description><![CDATA[
<p>Advt. No: IISERBPR/DoFA/2016/2</p>

<p>Advertisement for Faculty Positions</p>

<p>The IISER Berhampur, an Institute of national importance, established through an act of Parliament is an autonomous organization under the Ministry of HRD, Govt. of India, to promote quality education and cutting edge research in basic sciences and to provide a platform for the faculty to engage in high quality education, at undergraduate and postgraduate levels. The Institute invites applications for faculty positions at the level of Assistant Professor (C) /Assistant Professor in the following disciplines:</p>

<p>1. Biological Sciences</p>

<p>2. Chemistry</p>

<p>3. Computer Sciences</p>

<p>4. Mathematics</p>

<p>5. Physics</p>

<p>Only hard copy of application in the prescribed format, via Speed Post should be sent to the Dean, Faculty Affairs, IISER Berhampur, Industrial Training Institute (ITI) Berhampur, Engineering School Road, Berhampur - 760 010, Ganjam District, Odisha, before 1700 hrs., December 30, 2016.</p>

<p>http://www.iiserbpr.ac.in</p>

<p>More Info : http://www.iiserbpr.ac.in/vacancies/Advertisement%20for%20Faculty%20Positions%20at%20IISER%20Berhampur.pdf</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/43681/a-guide-to-machine-learning-for-biologists</guid>
	<pubDate>Tue, 28 Dec 2021 01:43:25 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/43681/a-guide-to-machine-learning-for-biologists</link>
	<title><![CDATA[A guide to machine learning for biologists]]></title>
	<description><![CDATA[<p>Because of the increasing size and inherent complexity of biological data, there has been an increase in the application of machine learning in biology to create useful and predictive models of the underlying biological processes. All machine learning techniques fit models to data; nevertheless, the specific methods are highly variable and can appear baffling at first glance. In this Review, we hope to give readers a moderate introduction to a few fundamental machine learning techniques, including the most recently created and frequently used deep neural network techniques. We illustrate how different algorithms may be adapted to specific types of biological data, as well as some best practises and points to consider when embarking on machine learning studies. There is also discussion of several upcoming directions in machine learning methodology.</p><p>Address of the bookmark: <a href="https://www.nature.com/articles/s41580-021-00407-0" rel="nofollow">https://www.nature.com/articles/s41580-021-00407-0</a></p>]]></description>
	<dc:creator>Abhi</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/40832/biocoder-newsletter-of-that-revolution-it%E2%80%99s-about-biology-as-it-moves-from-research-labs-into-startup-incubators-hacker-spaces-and-even-homes</guid>
	<pubDate>Sun, 02 Feb 2020 07:43:52 -0600</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/40832/biocoder-newsletter-of-that-revolution-it%E2%80%99s-about-biology-as-it-moves-from-research-labs-into-startup-incubators-hacker-spaces-and-even-homes</link>
	<title><![CDATA[BioCoder : newsletter of that revolution. It’s about biology as it moves from research labs into startup incubators, hacker spaces, and even homes]]></title>
	<description><![CDATA[<div>
<h3>BioCoder features:</h3>
<ul>
<li>Novel therapeutic discovery strategies</li>
<li>Hardware such as low-cost lab equipment or diagnostics</li>
<li>Open or low&shy;-cost bioinformatics tools</li>
<li>Engineered organisms for the production of small molecules, biologics, or other products</li>
<li>Research projects at a community labspace or projects for science education or public engagement</li>
<li>Hardware or software for lab automation</li>
<li>Citizen science or DIY research projects</li>
<li>Science policy</li>
<li>Tools to increase reproducibility in research, or anything related</li>
</ul>
</div><p>Address of the bookmark: <a href="https://www.oreilly.com/biocoder/" rel="nofollow">https://www.oreilly.com/biocoder/</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/41040/phd-position-in-molecular-cell-biology</guid>
  <pubDate>Sat, 15 Feb 2020 06:09:55 -0600</pubDate>
  <link></link>
  <title><![CDATA[PhD position in Molecular Cell Biology]]></title>
  <description><![CDATA[
<p>https://www.jobvector.de/jobs-stellenangebote/biologie-life-sciences/wissenschaftliche-r-mitarbeiter-in/phd-position-molecular-cell-biology-129604.html?suid=0ec057818886c1eceac674ca3f83943367a6cbe2</p>

<p>Essential experience / qualifications:<br />We are looking for highly motivated candidates holding a Master / Diploma in Biology, Biochemistry, Molecular Medicine or similar; solid knowledge of molecular and cell biological techniques; good English knowledge.</p>

<p>Applications:<br />Please send your application (including CV, letter of motivation, contact information of two references, and list of publication) by 13.03.2020 at the latest to:</p>

<p>Universitätsklinikum Erlangen<br />Chirurgische Klinik<br />Translational Research Center<br />Prof. Dr. rer. nat. Michael Stürzl<br />Schwabachanlage 12<br />91054 Erlangen<br />E-Mail: michael.stuerzl@uk-erlangen.de</p>
]]></description>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/36954/mscaffolder-a-comparative-genome-scaffolding-tool</guid>
	<pubDate>Fri, 15 Jun 2018 04:48:01 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/36954/mscaffolder-a-comparative-genome-scaffolding-tool</link>
	<title><![CDATA[mScaffolder: A comparative genome scaffolding tool]]></title>
	<description><![CDATA[<p>A comparative genome scaffolding tool based on MUMmer</p>
<p>mScaffolder scaffolds a genome using an existing high quality genome as the reference. It aligns the two genomes using nucmer utility from MUMmer and then orders and orients the contigs of the candidate genome guided by their alignments to the reference genome. Please send your questions and comments to&nbsp;<a href="mailto:mchakrab@uci.edu">mchakrab@uci.edu</a>.</p>
<p><span>Citation</span><span>&nbsp;</span><a href="https://www.nature.com/articles/s41588-017-0010-y">https://www.nature.com/articles/s41588-017-0010-y</a></p><p>Address of the bookmark: <a href="https://github.com/mahulchak/mscaffolder" rel="nofollow">https://github.com/mahulchak/mscaffolder</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>
<item>
	<guid isPermaLink="true">https://bioinformaticsonline.com/bookmarks/view/39630/vespa-very-large-scale-evolutionary-and-selective-pressure-analyses</guid>
	<pubDate>Sat, 22 Jun 2019 03:07:04 -0500</pubDate>
	<link>https://bioinformaticsonline.com/bookmarks/view/39630/vespa-very-large-scale-evolutionary-and-selective-pressure-analyses</link>
	<title><![CDATA[VESPA: Very large-scale Evolutionary and Selective Pressure Analyses]]></title>
	<description><![CDATA[<p>find the resources we provide here useful in getting you set up to analyse and interpret your data.</p>
<p>To reference VESPA:&nbsp;<a href="https://peerj.com/preprints/1895/">https://peerj.com/preprints/1895/</a></p>
<p>Documentation is now hosted on&nbsp;<a href="http://vespa-evol.readthedocs.io/en/latest/">ReadTheDocs</a></p>
<p>&nbsp;</p>
<h2>&nbsp;</h2><p>Address of the bookmark: <a href="https://github.com/aewebb80/VESPA" rel="nofollow">https://github.com/aewebb80/VESPA</a></p>]]></description>
	<dc:creator>Jit</dc:creator>
</item>

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