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      -------- Forwarded Message --------
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            <th valign="BASELINE" nowrap="nowrap" align="RIGHT">Subject:
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            <td>[Ieee_vis_open_positions] Post-Doc Position in
              Large-Scale Multivariate Visualization</td>
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            <th valign="BASELINE" nowrap="nowrap" align="RIGHT">Date: </th>
            <td>Mon, 11 Nov 2019 20:14:16 +0000</td>
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            <th valign="BASELINE" nowrap="nowrap" align="RIGHT">From: </th>
            <td>Bremer, Timo via ieee_vis_open_positions
              <a class="moz-txt-link-rfc2396E" href="mailto:ieee_vis_open_positions@listserv.uni-tuebingen.de"><ieee_vis_open_positions@listserv.uni-tuebingen.de></a></td>
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            <th valign="BASELINE" nowrap="nowrap" align="RIGHT">Reply-To:
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            <td>Bremer, Timo <a class="moz-txt-link-rfc2396E" href="mailto:bremer5@llnl.gov"><bremer5@llnl.gov></a></td>
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            <th valign="BASELINE" nowrap="nowrap" align="RIGHT">To: </th>
            <td><a class="moz-txt-link-abbreviated" href="mailto:ieee_vis_open_positions@listserv.uni-tuebingen.de">ieee_vis_open_positions@listserv.uni-tuebingen.de</a>
              <a class="moz-txt-link-rfc2396E" href="mailto:ieee_vis_open_positions@listserv.uni-tuebingen.de"><ieee_vis_open_positions@listserv.uni-tuebingen.de></a></td>
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            <th valign="BASELINE" nowrap="nowrap" align="RIGHT">CC: </th>
            <td>Bremer, Timo <a class="moz-txt-link-rfc2396E" href="mailto:bremer5@llnl.gov"><bremer5@llnl.gov></a></td>
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      The Center for Applied Scientific Computing (CASC) at the Lawrence
      Livermore National Laboratory (LLNL) seeks a postdoctoral
      researcher to contribute to the analysis and visualization of
      multivariate volumes.<br>
      <br>
      This position is part of a large interdisciplinary project in the
      area of advanced manufacturing. The goal is to develop new
      techniques to analyze, and visualize various high resolution
      scans, i.e. X-ray, neutron, acoustic, etc., of manufactured
      objects to provide domain experts with reliable, intuitive
      approaches to relate spatial features to material performance.<br>
      <br>
      Research directions of interest include but are not limited to:<br>
      <br>
      • Multivariate visualization of large-scale volumes<br>
      • Multivariate feature detection and characterization<br>
      • Topological techniques<br>
      • Uncertainty quantification and visualization<br>
      • Machine learning methods<br>
      • Virtual reality interfaces<br>
      <br>
      <br>
      For further information see the attached flyer or contact me
      directly at Peer-Timo Bremer <a class="moz-txt-link-rfc2396E" href="mailto:bremer5@llnl.gov"><bremer5@llnl.gov></a><br>
      <br>
      Cheers<br>
      <br>
      Timo<br>
      <br>
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