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scientists wanting to transition from PhD student to junior group leader. It supports young scientists in exploring their own ideas and testing new hypotheses. High-risk, high-gain projects are encouraged
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, and machine learning methods, choosing the approach that best fits the scientific question. Investigate systematically what information is contained in imaging data, how it can be extracted, and how
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or complementing traditional physics-based approaches by data-driven ones, using Machine-Learning (ML). Such approaches allow enormous gains of time, in a way that can be related to the astonishing efficiency
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-trivial software. Solid understanding of algorithms, numerical methods, scientific computing, or machine learning. Ability and motivation to write clean, maintainable and well-tested code. Strong interest
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through the MARUM - Center for Marine Environmental Sciences - is offering the position of a Research Assistant (PhD student position) (f/m/d) in German pay scale 13 TV-L with 75% of the weekly working
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through the MARUM - Center for Marine Environmental Sciences - is offering the position of a Research Assistant (PhD student position) (f/m/d) in German pay scale 13 TV-L with 75% of the weekly working
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PhD and/or postdoctoral record with outstanding scientific achievements, international research experience, and publications in relevant journals and/or in top-tier machine learning venues (e.g
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 2 months ago
and advance statistical, image analysis, and machine learning approaches Develop interpretable models that reveal biologically testable relationships and generate new scientific hypotheses Independently
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” at the Faculty of Humanities. The position is located at an office at the management of the DLA and develops the field of exploring and analyzing analogue archive collections with the help of machine learning
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machines Machine Culture Ongoing work on social reinforcement learning and evolutionary optimization of social strategies Our aim is to advance the scientific knowledge of human-AI systems by understanding