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Bachelor (advanced) or Master program with a focus on political science, economics, data science, statistics, or a related discipline; Excellent knowledge of the English language (the working language of
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experience in NGS data analysis. relevant experience in statistical data analysis and programming (e.g. R, Python, Perl, C++) as well as with workflow management systems (e.g. snakemake, CWL, Nextflow
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of Empirical Innovation Economics. Participating in the structured doctoral program of the Munich Graduate School of Economics (MGSE) at LMU. Contributing to exciting and highly relevant policy projects
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(Sondertatbestand), ZMT is strengthening its capacities in the field of modelling and adding predictive aspects to its existing research programmes. The institute’s five Programme Areas (PAs) are interdisciplinary
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, and research-based public and educational work. Over the next ten years, the Museum für Naturkunde will realise its plan for the future. New laboratories and jobs for cutting-edge research will be
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sense of responsibility Goal-oriented and independent way of working Also desirable are: Programming skills (preferably Python or Ruby) Knowledge in the administration of SAN infrastructures using Fiber
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program, colloquia, workshops). Your tasks Processing and analyzing text-based data from learning management systems, assessment systems and qualitative data sources such as interview transcripts
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modelling to evaluate additive and interaction components of mixture performance. Your qualifications and skills: Ideally, you are enrolled in a Master’s program in plant sciences, crop science, plant
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– company pension plan (ZVK) Senckenberg is committed to diversity. We benefit from the different expertise, perspectives and personalities of our staff and welcome every application from qualified candidates
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– annual special payment – collectively agreed vacation entitlement – company pension plan Senckenberg is committed to diversity. We benefit from the different expertise, perspectives and personalities