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<td>[DMANET] PostDoctoral Position in Machine Learning in
Economics and Decision Sciences, Department of Economics
at Copenhagen Business School</td>
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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">Date: </th>
<td>Tue, 4 Jan 2022 15:24:02 +0000</td>
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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">From: </th>
<td>Dolores Romero Morales via dmanet
<a class="moz-txt-link-rfc2396E" href="mailto:dmanet@zpr.uni-koeln.de"><dmanet@zpr.uni-koeln.de></a></td>
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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">Reply-To:
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<td>Dolores Romero Morales <a class="moz-txt-link-rfc2396E" href="mailto:drm.eco@cbs.dk"><drm.eco@cbs.dk></a></td>
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<th valign="BASELINE" nowrap="nowrap" align="RIGHT">To: </th>
<td><a class="moz-txt-link-abbreviated" href="mailto:dmanet@zpr.uni-koeln.de">dmanet@zpr.uni-koeln.de</a> <a class="moz-txt-link-rfc2396E" href="mailto:dmanet@zpr.uni-koeln.de"><dmanet@zpr.uni-koeln.de></a></td>
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<br>
<br>
PostDoctoral Position in Machine Learning in Economics and
Decision Sciences, Department of Economics at Copenhagen Business
School<br>
<br>
<br>
The two-year postdoc has a research component and limited
teaching. While also continuing to pursue their own research
interests, the postdoc will work with the group of Prof. Dolores
Romero Morales, who has leading expertise in, among others,
transparency in AI, interpretable machine learning and the role of
mathematical optimization in these fields. In addition, she is the
coordinator and scientific leader of the EU H2020 MSCA RISE
European Network of Data Scientists project,
<a class="moz-txt-link-freetext" href="http://www.riseneeds.eu/">http://www.riseneeds.eu/</a> Candidates from any field with an
interest in machine learning are encouraged to apply. Candidates
could have a background in machine learning, in mathematical
optimization, or in more applied fields such as economics, if they
have a strong interest in applying state of the art machine
learning techniques in their research.<br>
<br>
Thriving research environment, great colleagues, great place to
live!<br>
<br>
For more information on how to apply follow the link below.<br>
<a class="moz-txt-link-freetext" href="https://www.cbs.dk/cbs/jobs-paa-cbs/ledige-stillinger/postdoc-in-machine-learning-in-economics-and-decision-sciences">https://www.cbs.dk/cbs/jobs-paa-cbs/ledige-stillinger/postdoc-in-machine-learning-in-economics-and-decision-sciences</a>><br>
Looking forward to receive your application!<br>
<br>
Dolores Romero Morales<br>
--<br>
Dr Dolores Romero Morales<br>
Professor in Operations Research<br>
Co-organizer of Machine Learning NeEDS Mathematical Optimization
Online Seminar Series,
<a class="moz-txt-link-freetext" href="https://congreso.us.es/mlneedsmo/">https://congreso.us.es/mlneedsmo/</a>>Coordinator and scientific
leader of H2020 RISE NeEDS project,
<a class="moz-txt-link-freetext" href="http://www.riseneeds.eu/">http://www.riseneeds.eu/</a>>Editor-in-Chief of TOP, the Operations
Research Journal of the Spanish Society of Statistics and
Operations Research<br>
Department of Economics<br>
Copenhagen Business School<br>
Denmark<br>
E: <a class="moz-txt-link-abbreviated" href="mailto:drm.eco@cbs.dk">drm.eco@cbs.dk</a><a class="moz-txt-link-rfc2396E" href="mailto:drm.eco@cbs.dk"><mailto:drm.eco@cbs.dk></a><br>
H: <a class="moz-txt-link-freetext" href="http://www.doloresromero.com/">http://www.doloresromero.com/</a>><br>
<br>
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