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style="mso-ascii-font-family:Calibri;mso-fareast-font-family:
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color:black;mso-font-kerning:0pt;mso-ligatures:none;mso-fareast-language:DE"><b>Modelling
          Active Information Sampling in Continuous and Time-Critical
          Environments </b></span></p>
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color:black;mso-font-kerning:0pt;mso-ligatures:none;mso-fareast-language:DE">We’re
        looking for a sharp, technically strong researcher for modelling
        active
        information sampling under uncertainty in naturalistic domains,
        both in terms of optimal solutions and
        actual human behaviour. The ideal candidate would have a strong
        background in reinforcement
        learning (e.g. POMDP) and some knowledge of continuous control
        methods (e.g.
        Gaussian processes). The work will combine theoretical modeling,
        algorithm
        development, and analysis of human behavioral experiments to
        test predictions.</span></p>
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color:black;mso-font-kerning:0pt;mso-ligatures:none;mso-fareast-language:DE">Information
        on the research group and caian are on
        <a class="moz-txt-link-freetext" href="https://www.caian.uni-bonn.de/en/">https://www.caian.uni-bonn.de/en/</a></span></p>
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color:black;mso-font-kerning:0pt;mso-ligatures:none;mso-fareast-language:DE">Interested
        candidates are welcome to reach out for more information to
        <a class="moz-txt-link-abbreviated" href="mailto:d.bach@uni-bonn.de">d.bach@uni-bonn.de</a></span></p>
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    <pre class="moz-signature" cols="72">-- 
-----------------------
Professor Dominik R Bach
Professor | University of Bonn
Honorary Professor | University College London
Centre for Artificial Intelligence and Neuroscience (caian)
Transdisciplinary Research Area "Life and Health"
University of Bonn
Am Propsthof 49
53121 Bonn, Germany
Tel.: +49 228/7369530
<a class="moz-txt-link-abbreviated" href="mailto:d.bach@uni-bonn.de">d.bach@uni-bonn.de</a>
<a class="moz-txt-link-freetext" href="https://www.caian.uni-bonn.de/en/">https://www.caian.uni-bonn.de/en/</a></pre>
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