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<div><span><b>Postdoctoral Fellow in Machine Learning for Applications in Climate Science</b></span></div>
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<div>The Department of Meteorology (MISU) is offering a position for a Postdoctoral Fellow in Machine Learning for Applications in Climate Science. This is a full-time employment for a maximum of two years, with a possibility of extension. The successful candidate
will be able to formulate his/her own research project using Machine Learning on applications relevant for climate studies, meteorology and oceanography. The project will be developed in collaboration with involved scientist/scientists at the Department of
Meteorology:<br>
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Gunilla Svensson, gunilla@misu.su.se</div>
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Frida Bender, frida.bender@misu.su.se<br>
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<div>Annica Ekman, annica.ekman@misu.su.se<br>
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<div>Inga Koszalka, inga.koszalka@misu.su.se<br>
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Prospective applicants are encouraged to contact the involved scientist/scientists prior to applying.<br>
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The project is funded by the Swedish e-science Research Centre and the successful candidate is expected to interact with other scientist in a multidisciplinary collaboration project called SeRC Data Science with members from the four collaborating universities:
Stockholm University, the Royal Institute of Technology (KTH), Linköping University and Karolinska Institutet.<br>
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For more details, see <a href="https://www.su.se/english/about/working-at-su/jobs?rmpage=job&rmjob=9685&rmlang=UK" class="OWAAutoLink" id="LPlnk458873" previewremoved="true">
https://www.su.se/english/about/working-at-su/jobs?rmpage=job&rmjob=9685&rmlang=UK</a>. The closing date is
<b>15/08/2019</b>.<br>
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<p>Inga Monika Koszalka</p>
<p>Associate Professor of Coastal Oceanography</p>
<p>Department of Meteorology, Stockholm University (MISU)</p>
<p>SE-10691 Stockholm</p>
<p>Sweden</p>
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<div>Tel: +46-8-161734<br>
Fax: +46-8-157185</div>
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<p>Email: inga.koszalka@misu.su.se<br>
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<p><a href="https://sites.google.com/site/ingamonikakoszalka/" class="OWAAutoLink" id="LPNoLP">https://sites.google.com/site/ingamonikakoszalka/</a><br>
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