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                Field
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                to produce resilient and high-performing models. · PhD in Computer Science, Machine Learning, Mathematics, Physics, Statistics, or a related field Strong track record of applying ML in academic or industry 
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                at https://www.aalto.fi/en/study-options/aalto-doctoral-programme-in-electrical-engineering . WE OFFER The position will be filled for a period of 4 years (2 + 2). The starting date is in October 2025 or as 
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                least one of areas like animal communication research, probabilistic modeling, or language evolution is a strong requirement. As the position involves computational / mathematical modeling in the form 
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                ) is available within the research group FOR 5456 of the German Science Foundation (DFG). The overarching goal is the first implementation of satellite-based relativistic geodesy using optical atomic 
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                • Strong interest in interdisciplinary research Qualifications Research Assistant • Honours degree in (Biology, Neuroscience, Computer Science, Engineering, Mathematics, or related area) In addition 
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                permitting participate in physics performance validation activities. What skills are important in this role? The Faculty of Mathematics and Natural Sciences has a strategic ambition of being a leading research 
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                of Mathematics and Natural Sciences has a strategic ambition of being a leading research faculty. Candidates for these fellowships will be selected in accordance with this and expected to be in the upper segment 
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                The Children’s University of Tübingen Neuroscience student lab Demokratie Zukunftsfest Careers Back Job vacancies IT & Library / Technology & Maintenance / Administration Professorships Postdocs, assistant 
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                (applied mathematics, physics, geoscience or engineering). Record of scientific publication in international journals, research performance, and professional achievement commensurate with experience. Proven 
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                , statistics, and financial mathematics. Website: https://sites.google.com/view/trr388/ Project B03 of SFB/TRR388 concerns numerical methods for the treatment of stochastic optimal control problems and backward