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          <p><span
style="font-size: 14.000000pt; font-family: 'NimbusSanL'; font-weight: 700">Efficient
              representations of fast dynamic stimuli in populations of
              ON- and OFF-cells
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    <font size="+1"><tt></tt></font>
    <p><font size="+1"><tt> Within the DFG priority program
          "Evolutionary Optimisation of Neuronal Processing" and in an
          experiment-theory collaboration with the Benda/Grewe lab in
          Tübingen, we are looking for a PhD candidate to work on signal
          transmission of time-dependent signals in the electrosensory
          system of weakly electric fish. Specifically, we are
          interested in the following research questions:<br>
        </tt></font></p>
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          <p><span
              style="font-size: 11.000000pt; font-family: 'NimbusSanL'">1.
              How are high-frequency signals efficiently encoded in
              ON-OFF-pathways despite strongly
              reduced firing rates?
            </span></p>
          <p><span
              style="font-size: 11.000000pt; font-family: 'NimbusSanL'">2.
              What is the impact of feedback on the representation of
              high-frequency information in
              ON- OFF-pathways?
            </span></p>
          <br>
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    <font size="+1"><tt> In order to get an idea about similar
        approaches pursued in the past, have a look at some of the joint
        publications of the Benda lab and the Lindner group:<br>
        <br>
        Fisch et al.  J. Neurosci. 32, 17332 (2012) <br>
        Sharafi et al.  J. Comp. Neurosci.  34 , 285 (2013)<br>
      </tt></font><font size="+1"><tt>Grewe et al.  PNAS 114 E1977
        (2017)<br>
      </tt></font><font size="+1"><tt> <br>
        The successful candidate should have a degree in physics,
        mathematics or computational neuroscience (a background in
        neurobiology is desirable but not obligatory), programming
        skills (C++, Python, LaTeX, Linux), an excellent command of the
        English language, good communication skills, team spirit, and,
        last but not least, great enthusiasm for interdisciplinary
        projects.<br>
        <br>
        Funding is provided for three years, starting in the fall 2024.
        For details on the doctoral examination process at the Physics
        Department of Humboldt University Berlin, see <a
          class="moz-txt-link-freetext"
href="https://fakultaeten.hu-berlin.de/en/mnf/wisskar/promotionen/zula"
          moz-do-not-send="true">https://fakultaeten.hu-berlin.de/en/mnf/wisskar/promotionen/zula</a>.<br>
        <br>
        Applications, including a letter of motivation, a CV, and a list
        of three potential referees should be sent by email to 

me<br>
        <a class="moz-txt-link-abbreviated moz-txt-link-freetext"
          href="mailto:benjamin.lindner@physik.hu-berlin.de"
          moz-do-not-send="true">benjamin.lindner@physik.hu-berlin.de</a>
        
(cc to  <a class="moz-txt-link-abbreviated" href="mailto:officebl@bccn-berlin.de">officebl@bccn-berlin.de</a>)<br>
        <br>
        The deadline for applications is July 17, 2024, however, later
        applications might also be considered.<br>
      </tt></font>
    <p><font size="+1"><tt>Kind regards,</tt></font></p>
    Benjamin Lindner <br>
    <br>
    <pre class="moz-signature" cols="42">--------------------------------------------------------------------------------------------------------------------
Benjamin Lindner
Professor for 
Theory of Complex Systems and Neurophysics

Bernstein Center for Computational Neuroscience Berlin
Philippstr. 13, Haus 2, 10115 Berlin 
Room: 1.17, phone: 0049(0)302093 6336 

Department of Physics Humboldt University Berlin
Newtonstr. 15 12489 Berlin
Room: 3.408, phone: 0049(0)302093 7934

<a class="moz-txt-link-freetext"
    href="http://people.physik.hu-berlin.de/%7Elindner/index.html"
    moz-do-not-send="true">http://people.physik.hu-berlin.de/~lindner/index.html</a> 
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