<html><body><div style="font-family: arial, helvetica, sans-serif; font-size: 12pt; color: #000000"><div style="font-family: arial, helvetica, sans-serif; font-size: 12pt; color: #000000"><div id="zimbraEditorContainer" style="font-family: arial, helvetica, sans-serif; font-size: 12pt; color: #000000" class="8"><div data-marker="__QUOTED_TEXT__"><blockquote style="border-left:2px solid #1010FF;margin-left:5px;padding-left:5px;color:#000;font-weight:normal;font-style:normal;text-decoration:none;font-family:Helvetica,Arial,sans-serif;font-size:12pt;"><div dir="ltr"></div></blockquote></div></div></div><div><div dir="ltr"><div class="gmail_quote"><div dir="ltr" class="gmail_attr"><b style="font-size: 12pt;">Postdoc in deep learning for brain imaging</b><br></div><div dir="ltr"><div class="gmail_quote"><div dir="ltr"><div class="gmail_quote"><div dir="ltr"><div>Working within the ARAMIS team, the researcher's mission will be to develop research on the topic of deep learning for brain imaging. More specifically, the research project can tackle one of the following subjects or their combination:<br>- interpretable deep learning through joint training (e.g. joint segmentation, classification and grading)<br>- automatic classification for differential diagnosis<br>- training and validation from very large scale clinical routine datasets (N>100,000)<br>- integration of medical image analysis and natural language processing<br>- reproducibility of machine learning systems<br>He/she will be able to contribute to the training and co-supervision of students (Master, PhD). <br><br>Working context<br>You will work within the ARAMIS lab (<a href="http://www.aramislab.fr" target="_blank" rel="nofollow noopener noreferrer">www.aramislab.fr</a>) at the Paris Brain Institute. The institute is ideally located at the heart of the Pitié-Salpêtrière hospital, downtown Paris. <br>The ARAMIS lab, which is also part of Inria (the French National Institute for Research in Computer Science and Applied Mathematics), is dedicated to the development of new computational approaches for the analysis of large neuroimaging and clinical data sets. With about 35 people, the lab has a multidisciplinary composition, bringing together researchers in machine learning and statistics and medical doctors (neurologists, neuroradiologists). <br>The research project will be carried out within the framework of the Olivier Colliot Chair at the Interdisciplinary Institute of Artificial Intelligence (3IA) PRAIRIE (<a href="http://prairie-institute.fr/" target="_blank" rel="nofollow noopener noreferrer">http://prairie-institute.fr/</a> ), one of the four 3IA institutes created as part of the French plan for artificial intelligence.<br>We have access to a supercomputer with 1024 GPU.<br><br>Contact<br>Olivier Colliot - <a href="http://www.aramislab.fr/perso/colliot/" target="_blank" rel="nofollow noopener noreferrer">http://www.aramislab.fr/perso/colliot/</a> - <a href="mailto:olivier.colliot@sorbonne-universite.fr" target="_blank" rel="nofollow noopener noreferrer">olivier.colliot@sorbonne-universite.fr</a>.<br></div></div>
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