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    <p>-------- Forwarded Message --------</p>
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            <th valign="BASELINE" nowrap="nowrap" align="RIGHT">Subject:
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            <td>[DMANET] PhD/Postdoc Position: Combinatorial Image
              Analysis at TU Dresden</td>
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            <th valign="BASELINE" nowrap="nowrap" align="RIGHT">Date: </th>
            <td>Tue, 1 Mar 2022 12:49:03 +0100</td>
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            <th valign="BASELINE" nowrap="nowrap" align="RIGHT">From: </th>
            <td>Bjoern Andres <a class="moz-txt-link-rfc2396E" href="mailto:bjoern.andres@tu-dresden.de">&lt;bjoern.andres@tu-dresden.de&gt;</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></td>
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      <br>
      At the Faculty of Computer Science of TU Dresden, the Chair of
      Machine Learning for Computer Vision offers a position as<br>
      <br>
      Research Associate / PhD Student / Postdoc &quot;Combinatorial Image
      Analysis&quot; (m/f/x)<br>
      (subject to personal qualification employees are remunerated
      according to salary group TV-L E13, 100%)<br>
      <br>
      starting at the earliest possible date. The position is limited
      for three years with the option of extension. The position is
      generally suitable for candidates seeking part-time employment.
      Please indicate your request in your application.<br>
      <br>
      Tasks:<br>
      - curiosity-driven basic research of fundamental mathematical
      optimization problems in the field of image analysis<br>
      - design and analysis of algorithms for solving these problems,
      exactly or approximatively<br>
      - implementation, empirical analysis and comparison of these
      algorithms with respect to real data<br>
      - publication of findings and insights in internationally leading
      conferences and journals<br>
      - strong contributions to teaching in English in the Masters'
      Program Computational Modeling and Simulation, esp. by the design
      and co-supervision of exercise groups and tutorials and, for
      postdocs with sufficient teaching experience, by own lectures.<br>
      <br>
      Requirements:<br>
      - very good university degree and, if applicable, PhD degree in
      mathematics or computer science or a related discipline<br>
      - comprehensive education in mathematics, especially in discrete
      mathematics and one area of mathematical optimization (e.g.
      discrete optimization, convex optimization)<br>
      - curiosity and strong interest in rigorous mathematics<br>
      - teaching experience<br>
      - very good programming skills in C or C++<br>
      - very good scientific writing skills in English.<br>
      - Knowledge of German is not required for this position.<br>
      <br>
      Applications from women are particularly welcome. The same applies
      to people with disabilities.<br>
      <br>
      Call:
      <a class="moz-txt-link-freetext" href="https://mlcv.inf.tu-dresden.de/job-offer-mlcv-en.pdf">https://mlcv.inf.tu-dresden.de/job-offer-mlcv-en.pdf</a>&gt;Deadline:
      March 18th, 2022<br>
      Further information: <a class="moz-txt-link-freetext" href="https://mlcv.inf.tu-dresden.de/">https://mlcv.inf.tu-dresden.de/</a>&gt;Contact:
      <a class="moz-txt-link-abbreviated" href="mailto:mlcv@tu-dresden.de">mlcv@tu-dresden.de</a><br>
      <br>
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