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-------- Original Message --------
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<th valign="BASELINE" align="RIGHT" nowrap="nowrap">Subject:
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<td>Open positions at TUDelft - PhD and PostDoc - Visual
Analysis in Population Imaging Research (VAnPIRe)</td>
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<th valign="BASELINE" align="RIGHT" nowrap="nowrap">Date: </th>
<td>Wed, 25 Sep 2013 09:53:56 +0200</td>
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<th valign="BASELINE" align="RIGHT" nowrap="nowrap">From: </th>
<td>Rafael Bidarra <a class="moz-txt-link-rfc2396E" href="mailto:R.Bidarra@TUDELFT.NL"><R.Bidarra@TUDELFT.NL></a></td>
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<th valign="BASELINE" align="RIGHT" nowrap="nowrap">Reply-To:
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<td><a class="moz-txt-link-abbreviated" href="mailto:R.Bidarra@tudelft.nl">R.Bidarra@tudelft.nl</a></td>
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<th valign="BASELINE" align="RIGHT" nowrap="nowrap">Organization:
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<td>Delft University of Technology</td>
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<th valign="BASELINE" align="RIGHT" nowrap="nowrap">To: </th>
<td><a class="moz-txt-link-abbreviated" href="mailto:IEEEVRLIST@LISTSERV.UNCC.EDU">IEEEVRLIST@LISTSERV.UNCC.EDU</a></td>
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<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal"><b>PhD and PostDoc - Visual Analysis in
Population Imaging Research (VAnPIRe) <o:p></o:p></b></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">The PhD/PostDoc position will be part of
the Population Imaging Genetics project (<a
moz-do-not-send="true"
href="http://www.tudelft.nl/en/current/nieuwsartikelen/stw-perspectief-topsectoren/stw-imagene/">http://www.tudelft.nl/en/current/nieuwsartikelen/stw-perspectief-topsectoren/stw-imagene/</a>)
that involves linking observations on the human genome to
observations in imaging data. Novel, genome-wide sequencing
approaches combined with large-scale population imaging
studies open up unprecedented possibilities for discovering
the cause of a disease and relating it to its anatomical and
functional consequences. <br>
The exact nature of the features (markers) that have the
highest correlation with the clinical outcomes under study
is by definition hard to predict. Due to the magnitude and
heterogeneity of the data, as well as the nonspecific nature
of the features that are being sought, this is a complex and
laborious process.<br>
We envision a new class of visual analysis techniques that
enable the structured and interactive visual exploration of
population imaging data. With these techniques, patterns and
high-potential hypotheses can be flexibly derived from
population imaging data, aiding both the derivation of
insight and the search for predictive data features.<br>
The main aim of this project is to develop and evaluate a
new, interactive visual analysis approach that enables the
extraction of patterns and high-potential hypotheses from
the irregular and complex population imaging research data.<br>
New insights into the mechanisms behind the clinical outcome
of a population can be extracted by augmenting the human
visual system with interactive visualization and coupled
feature extraction techniques.<o:p></o:p></p>
<p class="MsoNormal"><o:p> </o:p></p>
<p class="MsoNormal">Apply through the official pages:<o:p></o:p></p>
<p class="MsoNormal">PhD: <a moz-do-not-send="true"
href="http://recruitment2.tudelft.nl/vacatures/index.php?lang=en&id=528599&type=w">http://recruitment2.tudelft.nl/vacatures/index.php?lang=en&id=528599&type=w</a>
<o:p> </o:p></p>
<p class="MsoNormal"><span lang="NL">PostDoc: <a
moz-do-not-send="true"
href="http://recruitment2.tudelft.nl/vacatures/index.php?lang=en&id=528598&type=w">http://recruitment2.tudelft.nl/vacatures/index.php?lang=en&id=528598&type=w</a>
<o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="NL"><o:p> </o:p></span><br>
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