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FAU DCN-AvH. Chair for Dynamics, Control, Machine Learning and Numerics | Erlangen, Bayern | Germany | 10 days ago
8 Oct 2026 Job Information Organisation/Company FAU DCN-AvH. Chair for Dynamics, Control, Machine Learning and Numerics Department Department Mathematik Research Field Mathematics » Applied
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estimates. You will work on extending neural processes to large-scale, multimodal geospatial data, a setting that remains largely unexplored in current machine learning research. You will join an
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Machine Learning The multidisciplinary Institute for Advanced Simulation - Materials Data Science and Informatics (IAS-9) brings together disciplines ranging from data analysis and machine learning to
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years) Openings: Several Natural Intelligence (NISYS GmbH) , a newly founded deep-tech startup at the intersection of neuroscience and machine learning, invites applications for a Senior Research
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Science, or a closely related field. Strong theoretical background in machine learning with proven experience in applying reinforcement learning to practical, applied problems. A clear interest in
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machine learning models for weather and climate, such as the WeatherGenerator/EarthGenerator and develops high-end HPC and cloud data infrastructures to support this research. Your Job You will
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areas: spin physics of point defects, <b>machine</b> <b>learning</b> for materials discovery, multi-scale simulation methods, and excited-state quantum chemistry. For more details, please visit <b>https</b>://pjadaun.com/open-positions/ . Please send applications to [email protected]...
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machine learning with proven experience in applying reinforcement learning to practical, applied problems. A clear interest in human health, wearable sensors, biosignals, and sleep physiology
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data science, mathematics and application support. The Large Scale Data Science department develops machine learning techniques and other methods and tools for the management, analysis and modelling
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the EMOS program, the Munich School for Data Science (MUDS), and the Munich Center for Machine Learning (MCML). Cooperation with the institute’s consulting centers (StabLab, Machine Learning Consulting