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<!-- begin sanitized html --><p style="padding: 0; margin: 0;"><span style="font-size: 10pt; font-family: tahoma, arial, helvetica, sans-serif;"></span><strong style="font-size: 10pt; font-family: Calibri, sans-serif;"><span style="font-family: 'Times New Roman', serif;">Call for Student </span></strong><strong style="font-size: 10pt; font-family: Calibri, sans-serif;"><span style="font-family: 'Times New Roman', serif;">R</span></strong><strong style="font-size: 10pt; font-family: Calibri, sans-serif;"><span style="font-family: 'Times New Roman', serif;">esearch </span></strong><strong style="font-size: 10pt; font-family: Calibri, sans-serif;"><span style="font-family: 'Times New Roman', serif;">A</span></strong><strong style="font-size: 10pt; font-family: Calibri, sans-serif;"><span style="font-family: 'Times New Roman', serif;">ssistant position Data Science / Machine learning</span></strong></p>
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<p style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0cm 0cm 0.0001pt;"><span style="font-size: 10pt;"><span style="font-family: 'Times New Roman', serif;">In the context of a research project in the Excellence Cluster “Science of Intelligence”, we are offering a student assistant position (60-80 hours/month).</span></span></p>
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<p style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0cm 0cm 0.0001pt;"><span style="font-size: 10pt;"><span style="font-family: 'Times New Roman', serif;">In our research project “Developing exploration behavior”, we investigate </span><span style="font-family: 'Times New Roman', serif;">the development of intelligent behavior, using high resolution behavioral tracking data</span><span style="font-family: 'Times New Roman', serif;">. We are particularly interested </span><span style="font-family: 'Times New Roman', serif;">in how behavioral variation arises through development from identical start points, and we employ a unique biological model system, a fully clonal fish species, the Amazon molly, that allows us to work with a large number of identical twins, tracked from day 1 of their life. </span><span style="font-family: 'Times New Roman', serif;">The main research aim is to understand </span><span style="font-family: 'Times New Roman', serif;">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 entire early life period of individuals. We aim to apply sophisticated unsupervised machine learning algorithms to this dataset in order to classify behavioral motifs present in our data.</span></span></p>
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<p style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0cm 0cm 0.0001pt;"><span style="font-family: 'Times New Roman', serif; font-size: 10pt;">The specific tasks for the research assistant in the project are:</span></p>
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<li><span style="font-family: 'Times New Roman', serif; font-size: 10pt;">Literature search</span></li>
<li><span style="font-family: 'Times New Roman', serif; font-size: 10pt;">Experimental data revision and processing;</span></li>
<li><span style="font-size: 10pt;"><span style="font-family: 'Times New Roman', serif;">S</span><span style="font-family: 'Times New Roman', serif;">upport in computational model implementation, testing, and large-scale numerical simulations</span></span></li>
<li><span style="font-size: 10pt;"><span style="font-family: 'Times New Roman', serif;">Support in </span><span style="font-family: 'Times New Roman', serif;">building data pipelines for the analysis of big data</span></span></li>
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<p style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0cm 0cm 0.0001pt;"><span style="font-size: 10pt;"><span style="font-family: 'Times New Roman', serif;">We seek for motivated students with strong computer skills with a background in </span><span style="font-family: 'Times New Roman', serif;">computer science, </span><span style="font-family: 'Times New Roman', serif;">(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;">biological big data</span><span style="font-family: 'Times New Roman', serif;">. </span><span style="font-family: 'Times New Roman', serif;">Applicants should have the corresponding proven skills:</span></span></p>
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<li><span style="font-family: 'Times New Roman', serif; font-size: 10pt;">very good general computer skills (Office, Presentationsoftware)</span></li>
<li><span style="font-family: 'Times New Roman', serif; font-size: 10pt;">good programming skills (Python, C/C++ or comparable)</span></li>
<li><span style="font-family: 'Times New Roman', serif; font-size: 10pt;">very good English skills (oral and written)</span></li>
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<p style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0cm 0cm 0.0001pt;"><span style="font-family: 'Times New Roman', serif; font-size: 10pt;">Further, previous experience in either of the following areas are strong additional assets:</span></p>
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<li><span style="font-family: 'Times New Roman', serif; font-size: 10pt;">Big data analytical tools</span></li>
<li><span style="font-family: 'Times New Roman', serif; font-size: 10pt;">Supercomputing/cluster computing</span></li>
<li><span style="font-family: 'Times New Roman', serif; font-size: 10pt;">Familiarity with some of the following Python libraries: scikitlearn, matplotlib, Numpy, TensorFlow, etc.</span></li>
<li><span style="font-family: 'Times New Roman', serif; font-size: 10pt;">Familiarity with unsupervised machine learning techniques</span></li>
<li><span style="font-family: 'Times New Roman', serif; font-size: 10pt;">GitHub</span></li>
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<p style="font-family: Calibri, sans-serif; font-size: 12pt; margin: 0cm 0cm 0.0001pt;"><span style="font-size: 10pt;"><span style="font-family: 'Times New Roman', serif;">Please send you application (short motivation letter mentioning also your relevant skills and previous experience, CV, transcript of records) until </span><span style="font-family: 'Times New Roman', serif;">2.11.2021</span><span style="font-family: 'Times New Roman', serif;"> via Email to: </span><span style="font-family: 'Times New Roman', serif;">Dr. Sean Ehlman, Humboldt University, seanehlman@gmail.com</span></span></p>
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