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	<link>https://bioinformaticsonline.com/opportunity/view/34804/postdoc-position-in-computational-biologysingle-cell-sequencing-ucsf-san-francisco-ca-us?</link>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/34804/postdoc-position-in-computational-biologysingle-cell-sequencing-ucsf-san-francisco-ca-us</guid>
  <pubDate>Sat, 23 Dec 2017 15:19:15 -0600</pubDate>
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  <title><![CDATA[Postdoc position in computational biology/single-cell sequencing @ UCSF -- San Francisco, CA (US)]]></title>
  <description><![CDATA[
<p>BACKGROUND<br />A Postdoc position is available in the Diaz laboratory, at the University of California, San Francisco (diazlab.ucsf.edu). Our lab applies single-cell profiling, genomics and other assays to clinical samples, to address problems in neuro-oncology and neuro-development.<br />RESPONSIBILITIES<br />The postdoc will develop statistical and computational tools, analyze, interpret and integrate single-cell and bulk 'omics data.<br />REQUIREMENTS<br />We are particularly interested in candidates with expertise in one of: bioinformatics, machine learning, applied statistics and/or network analytics. The position requires a PhD in a quantitative discipline, and programming skills. Previous experience in biology, bioinformatics and next-generation sequencing data analysis is preferred. But, applications from highly motivated candidates, with a strong background in some other area and the ability to learn quickly, are also quite welcome.<br />LOCALE<br />San Francisco, CA<br />HOW TO APPLY<br />Interested candidates should send an email to aaron.diaz[at]ucsf.edu, with the following:<br />CV<br />Cover letter, detailing programming experience, knowledge of mathematics and statistics, and bioinformatics or other data analysis experience. Please indicate your preferred start date.<br />Names and contacts of three references</p>
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