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) Programming: Python, version control (Git), comfort with reproducible workflows/CI What we offer We offer a full-time position as an academic staff member and a central role in a DFG Research Unit at the
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biophysics, biology, biochemistry, or other relevant discipline Excellent written and spoken English skills High degree of independence and commitment Good knowledge of python and C++ Experience in relevant
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qualifications in probilistic risk modelling, applied statistics and familiar with quantitative risk modelling measures strong data analysis skills and proficiency in R and Python; experience with other programing
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Max Planck Institute for Demographic Research (MPIDR) | Rostock, Mecklenburg Vorpommern | Germany | about 2 months ago
-driven, and collaborative scholars. Advanced knowledge of quantitative methods and statistical software such as R, Python, or Stata is required. The Max Planck – University of Helsinki Center for Social
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background in neurobiology Strong interest in studies on sleep in model organisms such as zebrafish Familiarity with statistics and programing experience with Python Previous experience with neuroimaging is
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desirable, as well as knowledge of behavioral coding programs (e.g., Datavyu) and mastering of statistical methods and programming languages (e.g., R, Python). Experience with online data collection and
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, optimization, and problem analysis Strong programming skills (e.g., in Python, C++, or other programming language) Experience in working with off-the-shelf optimization software, such as Gurobi or IBM ILOG
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software programming in C++/Python, ROS and MATLAB. Excellent command of English; German language skills are a plus. High motivation and the ability to work independently as well as within an international
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for laboratory and field work Strong background in programming and data analysis (preferably Python) Excellent data analysis and publication capabilities Excellent communication skills in English, both written and
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conducting work overseas (Africa or Latinamerca) is desirable. • Experience conducting statistical analyses of experimental datasets, and strong analylical skills (proficiency in R, Python, or Matlab