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<p class="MsoNormal"><b><span lang="EN-GB" style="font-family:"Times New Roman",serif;
mso-fareast-font-family:"Times New Roman";mso-ansi-language:EN-GB;mso-fareast-language:
EN-GB">Call for Student
</span></b><b><span style="font-family:"Times New Roman",serif;
mso-fareast-font-family:"Times New Roman";mso-ansi-language:EN-US;mso-fareast-language:
EN-GB">R</span></b><b><span lang="EN-GB" style="font-family:"Times New Roman",serif;
mso-fareast-font-family:"Times New Roman";mso-ansi-language:EN-GB;mso-fareast-language:
EN-GB">esearch
</span></b><b><span style="font-family:"Times New Roman",serif;
mso-fareast-font-family:"Times New Roman";mso-ansi-language:EN-US;mso-fareast-language:
EN-GB">A</span></b><b><span lang="EN-GB" style="font-family:"Times New Roman",serif;
mso-fareast-font-family:"Times New Roman";mso-ansi-language:EN-GB;mso-fareast-language:
EN-GB">ssistant
position</span></b><b><span style="font-family:"Times New Roman",serif;
mso-fareast-font-family:"Times New Roman";mso-ansi-language:EN-US;mso-fareast-language:
EN-GB"><o:p></o:p></span></b></p>
<p class="MsoNormal"><span style="font-family:"Times New Roman",serif;mso-fareast-font-family:
"Times New Roman";mso-ansi-language:EN-US;mso-fareast-language:EN-GB"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-GB" style="font-family:"Times New Roman",serif;
mso-fareast-font-family:"Times New Roman";mso-ansi-language:EN-GB;mso-fareast-language:
EN-GB">In the context of a research project in the Excellence Cluster “Science of Intelligence”
(Berlin), we are offering a student assistant position (up to 80 hours/month). <o:p>
</o:p></span></p>
<p class="MsoNormal"><span lang="EN-GB" style="font-family:"Times New Roman",serif;
mso-fareast-font-family:"Times New Roman";mso-ansi-language:EN-GB;mso-fareast-language:
EN-GB"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-GB" style="font-family:"Times New Roman",serif;
mso-fareast-font-family:"Times New Roman";mso-ansi-language:EN-GB;mso-fareast-language:
EN-GB">In our research project “From behavioural primitives to intelligent behaviour”,
we investigate </span><span style="font-family:"Times New Roman",serif;
mso-fareast-font-family:"Times New Roman";mso-ansi-language:EN-US;mso-fareast-language:
EN-GB">the development of intelligent behavior, using high resolution behavioral tracking data</span><span lang="EN-GB" style="font-family:"Times New Roman",serif;
mso-fareast-font-family:"Times New Roman";mso-ansi-language:EN-GB;mso-fareast-language:
EN-GB">.
We are particularly interested </span><span style="font-family:"Times New Roman",serif;
mso-fareast-font-family:"Times New Roman";mso-ansi-language:EN-US;mso-fareast-language:
EN-GB">in how behavioral variation arises through development from identical start
points, and we employ a unique biological model system, a fully clonal fish species (Amazon molly), that allows us to work with a large number of genetically identical twins.
</span><span lang="EN-GB" style="font-family:"Times New Roman",serif;
mso-fareast-font-family:"Times New Roman";mso-ansi-language:EN-GB;mso-fareast-language:
EN-GB">The main research aim is to understand
</span><span style="font-family:
"Times New Roman",serif;mso-fareast-font-family:"Times New Roman";mso-ansi-language:
EN-US;mso-fareast-language:EN-GB">the rules generating individual-level variation through development, and we employ high resolution tracking
data to uncover such rules. This involves the organization and analysis of massive amounts of data spanning large amounts of time. We aim to apply sophisticated unsupervised machine learning algorithms to this dataset in order to classify behavioral motifs
present in our data. <o:p></o:p></span></p>
<p class="MsoNormal"><span lang="EN-GB" style="font-family:"Times New Roman",serif;
mso-fareast-font-family:"Times New Roman";mso-ansi-language:EN-GB;mso-fareast-language:
EN-GB"><o:p> </o:p></span></p>
<p class="MsoNormal"><span lang="EN-GB" style="font-family:"Times New Roman",serif;
mso-fareast-font-family:"Times New Roman";mso-ansi-language:EN-GB;mso-fareast-language:
EN-GB">The specific tasks for the research assistant in the project are:
<o:p></o:p></span></p>
<ul nodeid="1">
<li><span lang="EN-GB" style="font-family:"Times New Roman",serif;
mso-fareast-font-family:"Times New Roman";mso-ansi-language:EN-GB;mso-fareast-language:
EN-GB">Experimental data revision and processing;
<o:p></o:p></span></li><li><span style="font-family:"Times New Roman",serif;
mso-fareast-font-family:"Times New Roman";mso-ansi-language:EN-US;mso-fareast-language:
EN-GB">S</span><span lang="EN-GB" style="font-family:"Times New Roman",serif;
mso-fareast-font-family:"Times New Roman";mso-ansi-language:EN-GB;mso-fareast-language:
EN-GB">upport
in computational model implementation, testing, and large-scale numerical simulations
<o:p></o:p></span></li><li><span lang="EN-GB" style="font-family:"Times New Roman",serif;
mso-fareast-font-family:"Times New Roman";mso-ansi-language:EN-GB;mso-fareast-language:
EN-GB">Support in
</span><span style="font-family:"Times New Roman",serif;
mso-fareast-font-family:"Times New Roman";mso-ansi-language:EN-US;mso-fareast-language:
EN-GB">building data pipelines for the analysis of big data</span></li></ul>
<p class="MsoNormal"><span lang="EN-GB" style="font-family:"Times New Roman",serif;
mso-fareast-font-family:"Times New Roman";mso-ansi-language:EN-GB;mso-fareast-language:
EN-GB">We seek for motivated students with strong computer skills with a background in
</span><span style="font-family:"Times New Roman",serif;
mso-fareast-font-family:"Times New Roman";mso-ansi-language:EN-US;mso-fareast-language:
EN-GB">computer science,
</span><span lang="EN-GB" style="font-family:"Times New Roman",serif;
mso-fareast-font-family:"Times New Roman";mso-ansi-language:EN-GB;mso-fareast-language:
EN-GB">(bio)physics, (bio)informatics, or related natural or engineering sciences and interest in computational
biology and/or </span><span style="font-family:"Times New Roman",serif;mso-fareast-font-family:"Times New Roman";
mso-ansi-language:EN-US;mso-fareast-language:EN-GB">biological big data</span><span lang="EN-GB" style="font-family:"Times New Roman",serif;mso-fareast-font-family:
"Times New Roman";mso-ansi-language:EN-GB;mso-fareast-language:EN-GB">.
</span><span lang="DE" style="font-family:"Times New Roman",serif;mso-fareast-font-family:
"Times New Roman";mso-fareast-language:EN-GB">Applicants should have the corresponding proven skills:
<o:p></o:p></span></p>
<ul nodeid="2">
<li><span lang="EN-GB" style="font-family:"Times New Roman",serif;
mso-fareast-font-family:"Times New Roman";mso-ansi-language:EN-GB;mso-fareast-language:
EN-GB">very good general computer skills (Office, Presentationsoftware)
</span><span style="font-family:"Times New Roman",serif;mso-fareast-font-family:"Times New Roman";
mso-ansi-language:EN-US;mso-fareast-language:EN-GB"><o:p></o:p></span></li><li><span lang="EN-GB" style="font-family:"Times New Roman",serif;
mso-fareast-font-family:"Times New Roman";mso-ansi-language:EN-GB;mso-fareast-language:
EN-GB">very good programming skills (Python, C/C++ or comparable)
<o:p></o:p></span></li><li><span lang="EN-GB" style="font-family:"Times New Roman",serif;
mso-fareast-font-family:"Times New Roman";mso-ansi-language:EN-GB;mso-fareast-language:
EN-GB">good English skills (oral and written)</span></li></ul>
<p class="MsoNormal"><span lang="EN-GB" style="font-family:"Times New Roman",serif;
mso-fareast-font-family:"Times New Roman";mso-ansi-language:EN-GB;mso-fareast-language:
EN-GB">Further, previous experience in either of the following areas are strong additional
assets: <o:p></o:p></span></p>
<ul nodeid="3">
<li><span style="font-family:"Times New Roman",serif;
mso-fareast-font-family:"Times New Roman";mso-ansi-language:EN-US;mso-fareast-language:
EN-GB">Big data analytical tools<o:p></o:p></span></li><li><span style="font-family:"Times New Roman",serif;
mso-fareast-font-family:"Times New Roman";mso-ansi-language:EN-US;mso-fareast-language:
EN-GB">Supercomputing/cluster computing<o:p></o:p></span></li><li><span style="font-family:"Times New Roman",serif;
mso-fareast-font-family:"Times New Roman";mso-ansi-language:EN-US;mso-fareast-language:
EN-GB">Familiarity with some of the following Python libraries: scikitlearn, matplotlib, Numpy, TensorFlow, etc.
<o:p></o:p></span></li><li><span style="font-family:"Times New Roman",serif;
mso-fareast-font-family:"Times New Roman";mso-ansi-language:EN-US;mso-fareast-language:
EN-GB">Familiarity with unsupervised machine learning techniques<o:p></o:p></span></li><li><span style="font-family:"Times New Roman",serif;
mso-fareast-font-family:"Times New Roman";mso-ansi-language:EN-US;mso-fareast-language:
EN-GB">GitHub</span></li></ul>
<p class="MsoNormal"><span lang="EN-GB" style="font-family:"Times New Roman",serif;
mso-fareast-font-family:"Times New Roman";mso-ansi-language:EN-GB;mso-fareast-language:
EN-GB">Please send you application (short motivation letter mentioning also your relevant
skills and previous experience, CV, transcript of records) until 30</span><span style="font-family:"Times New Roman",serif;mso-fareast-font-family:"Times New Roman";
mso-ansi-language:EN-US;mso-fareast-language:EN-GB">.4.2024</span><span lang="EN-GB" style="font-family:"Times New Roman",serif;mso-fareast-font-family:
"Times New Roman";mso-ansi-language:EN-GB;mso-fareast-language:EN-GB">
via Email to: </span><span style="font-family:"Times New Roman",serif;mso-fareast-font-family:
"Times New Roman";mso-ansi-language:EN-US;mso-fareast-language:EN-GB">Dr. Max Wolf,
<a href="mailto:max.wolf@igb-berlin.de">max.wolf@igb-berlin.de</a><o:p></o:p></span></p>
<br>
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