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</o:shapelayout></xml><![endif]--></head><body lang=EN-US link="#0563C1" vlink="#954F72"><div class=WordSection1><p class=MsoNormal><span style='font-family:"Arial",sans-serif'>CALL FOR APPLICATIONS <o:p></o:p></span></p><p class=MsoNormal><span style='font-family:"Arial",sans-serif'>Pattern Recognition in Neuroimaging Virtual Summer School: PRNI 2020<o:p></o:p></span></p><p class=MsoNormal><span style='font-family:"Arial",sans-serif;background:white'>Dates: 14-18 September 2020.<o:p></o:p></span></p><p class=MsoNormal><span style='font-size:10.0pt;font-family:"Arial",sans-serif;background:white'>Organized by the <i>Research Group Neuroinformatics</i> and the <i>Cognitive Science Hub</i>, University of Vienna, Austria<o:p></o:p></span></p><p class=MsoNormal><span style='font-family:"Arial",sans-serif;background:white'><o:p> </o:p></span></p><p class=MsoNormal><span style='font-family:"Arial",sans-serif'>We are happy to announce PRNI 2020, a one-week virtual summer school aimed at training students and<span style='background:white'> early-stage researchers in theoretical and practical aspects of using machine learning and other modern data analysis methods in cognitive neuroscience. The summer school consists of talks by internationally renowned experts complemented by interactive Python tutorials. Students will receive help and feedback from teaching assistants and will have the opportunity to get to know other researchers online. <o:p></o:p></span></span></p><p class=MsoNormal><span style='font-family:"Arial",sans-serif;background:white'><o:p> </o:p></span></p><p class=MsoNormal><span style='font-family:"Arial",sans-serif;background:white'>The early bird registration deadline is the 30<sup>th</sup> of June, please find more details on the link below:<o:p></o:p></span></p><p class=MsoNormal><a href="https://prni2020.univie.ac.at/"><span style='font-family:"Arial",sans-serif;color:windowtext'>https://prni2020.univie.ac.at/</span></a><span style='font-family:"Arial",sans-serif'><o:p></o:p></span></p><p class=MsoNormal><b><span style='font-family:"Arial",sans-serif'><o:p> </o:p></span></b></p><p class=MsoNormal><b><span style='font-family:"Arial",sans-serif'>Main Topics:<o:p></o:p></span></b></p><p class=MsoListParagraphCxSpFirst style='text-indent:-.25in;mso-list:l0 level1 lfo1'><![if !supportLists]><span style='font-family:Symbol;color:#333333'><span style='mso-list:Ignore'>·<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span style='font-family:"Arial",sans-serif;color:#333333;background:white'>Machine learning<o:p></o:p></span></p><p class=MsoListParagraphCxSpMiddle style='text-indent:-.25in;mso-list:l0 level1 lfo1'><![if !supportLists]><span style='font-family:Symbol;color:#333333'><span style='mso-list:Ignore'>·<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span style='font-family:"Arial",sans-serif;color:#333333;background:white'>Deep learning<o:p></o:p></span></p><p class=MsoListParagraphCxSpMiddle style='text-indent:-.25in;mso-list:l0 level1 lfo1'><![if !supportLists]><span style='font-family:Symbol;color:#333333'><span style='mso-list:Ignore'>·<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span style='font-family:"Arial",sans-serif;color:#333333;background:white'>Bayesian modeling <o:p></o:p></span></p><p class=MsoListParagraphCxSpMiddle style='text-indent:-.25in;mso-list:l0 level1 lfo1'><![if !supportLists]><span style='font-family:Symbol'><span style='mso-list:Ignore'>·<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span style='font-family:"Arial",sans-serif;color:#333333;background:white'>Connectivity and causality</span><span style='font-family:"Arial",sans-serif'><o:p></o:p></span></p><p class=MsoListParagraphCxSpMiddle style='text-indent:-.25in;mso-list:l0 level1 lfo1'><![if !supportLists]><span style='font-family:Symbol'><span style='mso-list:Ignore'>·<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span style='font-family:"Arial",sans-serif;color:#333333;background:white'>fMRI</span><span style='font-family:"Arial",sans-serif'><o:p></o:p></span></p><p class=MsoListParagraphCxSpMiddle style='text-indent:-.25in;mso-list:l0 level1 lfo1'><![if !supportLists]><span style='font-family:Symbol'><span style='mso-list:Ignore'>·<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span style='font-family:"Arial",sans-serif;color:#333333;background:white'>EEG/MEG</span><span style='font-family:"Arial",sans-serif'><o:p></o:p></span></p><p class=MsoListParagraphCxSpLast style='text-indent:-.25in;mso-list:l0 level1 lfo1'><![if !supportLists]><span style='font-family:Symbol'><span style='mso-list:Ignore'>·<span style='font:7.0pt "Times New Roman"'> </span></span></span><![endif]><span style='font-family:"Arial",sans-serif;color:#333333;background:white'>Calcium imaging</span><span style='font-family:"Arial",sans-serif'><o:p></o:p></span></p><p class=MsoNormal><b><span style='font-family:"Arial",sans-serif'>Keynote Speakers<o:p></o:p></span></b></p><p class=MsoNormal><span style='font-family:"Arial",sans-serif'>Peter Dayan (MPI Biological Cybernetics/Tubingen)<o:p></o:p></span></p><p class=MsoNormal><span style='font-family:"Arial",sans-serif'>Katharina Dobs (MIT)<o:p></o:p></span></p><p class=MsoNormal><span style='font-family:"Arial",sans-serif'>Romy Lorenz (Cambridge)<o:p></o:p></span></p><p class=MsoNormal><b><span style='font-family:"Arial",sans-serif'><o:p> </o:p></span></b></p><p class=MsoNormal><b><span style='font-family:"Arial",sans-serif'>Teaching Faculty (A-Z)<o:p></o:p></span></b></p><p class=MsoNormal><span style='font-family:"Arial",sans-serif'>Sebastian Tschiatschek (Uni. Vienna)<o:p></o:p></span></p><p class=MsoNormal><span style='font-family:"Arial",sans-serif'>Tonio Ball (Uni. Freiburg)<o:p></o:p></span></p><p class=MsoNormal><span style='font-family:"Arial",sans-serif'>Máté Lengyel (Cambridge/CEU)<o:p></o:p></span></p><p class=MsoNormal><span lang=DE style='font-family:"Arial",sans-serif'>Georg Langs (Med. Uni. Wien)<o:p></o:p></span></p><p class=MsoNormal><span style='font-family:"Arial",sans-serif'>Alexandre Gramfort (INRIA)<o:p></o:p></span></p><p class=MsoNormal><span style='font-family:"Arial",sans-serif'>Moritz Grosse-Wentrup (Uni. Vienna)<o:p></o:p></span></p><p class=MsoNormal><span style='font-family:"Arial",sans-serif'>Manuel Zimmer (IMP Vienna)<o:p></o:p></span></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal><o:p> </o:p></p><p class=MsoNormal>_______________________________________<o:p></o:p></p><p class=MsoNormal><span style='font-size:9.0pt;font-family:"Courier New";color:#333333;background:white'>Jozsef Arato, PhD<o:p></o:p></span></p><p class=MsoNormal style='margin-bottom:12.0pt'><span style='font-size:9.0pt;font-family:"Courier New";color:#333333;background:white'>Program Chair PRNI 2020</span><span style='font-size:9.0pt;font-family:"Courier New";color:#333333'><br><span style='background:white'>Data Science Postdoc</span><br><span style='background:white'>-----------------------------</span><br><span style='background:white'>Vienna Cognitive Science Hub</span><br><span style='background:white'>University of Vienna</span><br><span style='background:white'>Liebiggase 5 (Room HE.63)</span><br><span style='background:white'>1010, Vienna</span><br><br><span style='background:white'><a href="mailto:jozsef.arato@univie.ac.at"><span style='color:#0186BA'>jozsef.arato@univie.ac.at</span></a></span></span><o:p></o:p></p><p class=MsoNormal><o:p> </o:p></p></div></body></html>