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and machine-learning methods for multi-objective optimization of efficiency, reproducibility, and operational stability Study intrinsic material stability, light-induced phase segregation, ion migration
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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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machine learning-based model to map satellite retrievals to ground based air pollutant concentrations Conducting error assessment on the derived concentration data Implementing new observational data
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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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08.06.2026 Application deadline : 15.07.2026 The Cluster of Excellence "Machine Learning - New Perspectives for Science" at the University of Tübingen offers several positions as Early Career
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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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, and clinical data Develop and apply computational, statistical, and machine learning methods for biomarker discovery and risk prediction Investigate molecular mechanisms linking immune aging
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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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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