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	<title><![CDATA[BOL: Related items]]></title>
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  <guid isPermaLink='true'>https://bioinformaticsonline.com/opportunity/view/4575/hiv-phd-and-msc-research-positions</guid>
  <pubDate>Mon, 16 Sep 2013 18:55:44 -0500</pubDate>
  <link></link>
  <title><![CDATA[HIV PhD and MSc Research Positions]]></title>
  <description><![CDATA[
<p>SANBI are looking to recruit two MSc students and a PhD student who are interested in implementing a computational biology approach to explore HIV’s glycan shield. Successful candidates for the MSc should hold an honours degree in physics, computer science or biological sciences while PhD applicants should hold an honours degree and a MSc in one or more of physics, computer science or biological sciences.</p>

<p>As these positions are funded by the South African National Research Foundation (NRF) priority will be given to South African citizens and permanent residents however exceptional applicants who do not fulfil these criteria may be considered.</p>

<p>Applications including a CV outlining your experience together with a cover letter detailing why you are a suitable candidate should be sent to simon_at_sanbi.ac.za by 30th September 2013.</p>

<p>More @ http://www.sanbi.ac.za/hiv-phd-and-msc-research-positions/</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/4657/giovanni-parmigiani-lab</guid>
  <pubDate>Fri, 20 Sep 2013 13:21:41 -0500</pubDate>
  <link></link>
  <title><![CDATA[Giovanni Parmigiani Lab]]></title>
  <description><![CDATA[
<p>Scientific Interests:</p>

<p>Models and software for predicting who is at risk of carrying genetic variants that confer susceptibility to cancer. Application to breast, ovarian, colorectal, pancreatic and skin cancer.</p>

<p>Statistical methods for the analysis of high throughput genomic data: analysis of cancer genome sequencing projects; integration of genomic information across technologies; cross-study validation of genomics results.</p>

<p>Statistical methods for comparative effectiveness research: comprehensive models for lifetime history of chronic disease outcomes; Bayesian meta-analysis; Bayesian causal inference; decision analysis.</p>

<p>Bayesian modeling and computation: multilevel models; decision theoretic approaches to inference; sequential experimental design and their application to adaptive and multistage studies in clinical and epidemiological research.</p>

<p>http://bcb.dfci.harvard.edu/~gp/index.html</p>

<p>http://scholar.google.com/citations?user=OlpYP3UAAAAJ&amp;hl=en</p>
]]></description>
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<item>
  <guid isPermaLink='true'>https://bioinformaticsonline.com/researchlabs/view/43418/caceres-lab</guid>
  <pubDate>Sat, 02 Oct 2021 00:20:42 -0500</pubDate>
  <link></link>
  <title><![CDATA[Cáceres Lab]]></title>
  <description><![CDATA[
<p>Lab are included within the Genomics, Bioinformatics and Evolution group of the UAB, and collaborate closely with other researchers in the Barcelona area, such as Xavier Estivill of the Centre for Genomic Regulation (CRG), Juan R González of the Centre for Research in Environmental Epidemiology (CREAL), and Tomàs Marqués-Bonet of the Institute of Evolutionary Biology (IBE), as well as with other international groups and projects.</p>

<p>https://grupsderecerca.uab.cat/cacereslab/</p>
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