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(Apologies if you have received this message from more than one mailing list)
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<div class="">Dear colleagues,
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<div class=""><b class="">Registration </b>for the <span class="">Workshop on Perspectives and Applications of Deep Learning for Accelerated Scientific Discovery at next generation X-ray and Neutron Sources </span>that will take place at <span class="">The
Niels Bohr Institute, Copenhagen, Denmark on 26-27 September 2019<b class=""> is now open!</b></span></div>
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<div class=""><a href="https://indico.nbi.ku.dk/event/1256/" class="">https://indico.nbi.ku.dk/event/1256/</a></div>
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The program will consist of 3 plenary sessions on Thursday the 26th given by</div>
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<div class=""><b class="">Christian Igel,</b> Professor at the Department of Computer Science at the University of Copenhagen (Denmark)</div>
<div class=""><b class="">Toby Perring</b>, Senior scientist at the ISIS Facility (UK)</div>
<div class=""><b class="">Abbas Ourmazd</b>, Distinguished Professor of Physics at the University of Wisconsin-Milwaukee (USA)</div>
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<div class="">followed by afternoon working groups, led by </div>
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<div class=""><b class="">Harald Reichert</b>, Director of Research in Physical Sciences at the European Synchrotron Radiation Facility - ESRF (France) <br class="">
<b class="">Bill David</b>, Professor of Materials Chemistry in the Inorganic Chemistry Laboratory, University of Oxford, and STFC Senior Fellow at the ISIS Facility (UK)<br class="">
<b class="">Troels Petersen</b>, Associate Professor at the Niels Bohr Institute at the University of Copenhagen (Denmark) </div>
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<div class="">Invited panel members will discus (in closed sections) how DL methods can become more generically applicable to a wide range of scattering experiments, including data analysis, bias-free modelling and optimization of experimental protocols.<br class="">
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On Friday, 27th, conveners will present the outcomes of the previous day’s working-groups and the meeting will close with a discussion and presentation of an overall summary. A tentative roadmap on how to make progress in the application of DL for Accelerated
Scientific Discovery at next generation X-ray and Neutron Sources will also be proposed.<br class="">
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<u class="">There is no registration fee for the workshop, but attendance is limited to 40 participants</u>. </div>
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<div class=""><u class="">The web page will be continuously updated.</u></div>
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</u>Looking very much forward to seeing you on September!<br class="">
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Associate Professor Heloisa N. Bordallo – Niels Bohr Institute - UCPH<br class="">
Associate Professor Christina Lioma - Department of Computer Science - UCPH<br class="">
Dr. Jonathan Taylor - Head of Data Management and Software Center Division - ESS<br class="">
Dr. Dimitri N. Argyriou - Head of Operations Planning - ESS<br class="">
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<i class="">The workshop is sponsored by the Nordic Neutron Science Programme (NNSP) Capacity Building Networks Soft and biological materials and Low-dimensional structure (<a href="https://www.nordforsk.org/en/programmes-and-projects/projects/nnsp-capacity-building" class="">https://www.nordforsk.org/en/programmes-and-projects/projects/nnsp-capacity-building</a>).</i></div>
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__________________</div>
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Heloisa N. Bordallo<br class="">
Associate Professor (Lektor)<br class="">
Niels Bohr Institute<br class="">
(H.C. Ørsted Institute, bldg. D)<br class="">
University of Copenhagen<br class="">
Universitetsparken 5<br class="">
2100 Copenhagen Denmark<br class="">
Phone: +45 213 088 29<br class="">
<a href="mailto:bordallo@nbi.ku.dk" class="">bordallo@nbi.ku.dk</a><br class="">
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