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degree or PhD degree in computer science. We offer - You work in a highly innovative environment - Technical supervision at one of the leading universities of Germany - Employment as a research associate
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(e.g. RNAi, CRISPR/Cas9, small-molecules). In this context, we also develop new computational tools for automated analysis and data visualization. These include algorithms and software applications
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facility project management, reporting and publishing Your qualifications and skills: You hold a PhD in Biology or equivalent. You have a strong experimental (wet-lab) and theoretical background in genetics
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of project results analyse climate-induced changes on arctic tundra and related fire regimes by conducting factorial experiments using multiple climate-change scenarios. Requirements: a PhD in biophysical
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a Focus on Data Science: A master’s equivalent university degree with above average grades and a relevant doctorate/PhD (e.g. in cognitive science, data science, learning analytics, or a related field
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. Additional requirements: PhD with a strong background in Molecular and Cell Biology. Hands-on in vitro and ex vivo experience in human disease modeling using primary cells, tissue slices or iPSCs. FACS
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the programme’s template Motivation letter Two letters of reference Transcript of records/courses taken during your studies Copy of PhD degree or proof of imminent completion The detailed descriptions
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10.08.2021, Academic staff Positions in the Formal Methods for Software Reliability group of TU Munich led by Prof. Jan Kretinsky: - postdoc in the area of quantitative verification - PhD student in
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Transcript of records/courses taken during your studies Copy of PhD degree or proof of imminent completion The detailed descriptions of the research areas with list of potential supervisors, list of training
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world with increasing digitalization and medical needs. Our research integrates materials chemistry, biological processes, physical analysis, process engineering and data science. We collaborate with