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, functional magnetic resonance imaging, behavioral testing in humans and non- human primates, and computational modeling. It is funded by an ERC Consolidator Grant (Acronym DimLearn; “Flexible Dimensionality
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, NeRFs, Diffusion Models, LLMs, etc. PhD and PostDoc Positions in Visual Computing & AI The Visual Computing & Artificial Intelligence Group at the Technical University of Munich is looking for highly
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degree in economics with a focus on public economics, behavioral economics, labor economics or a related field and have completed your PhD by job start. You have already proven your relevant knowledge and
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property prediction, modern artificial intelligence methods, molecular dynamics, and interdisciplinary research, this is your chance to be part of an exciting journey at the forefront of science and
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 2 months ago
Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: Scientific / postdoctoral posts Job description:Postdoc in
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programming and repair, bioengineering, and computational health. We particularly excel in the fields of basic research, bioengineering, artificial intelligence, and technological development. Through
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. Your profile You hold a PhD in computer science, biomedical engineering, applied mathematics, medical physics, or a related field. You have a proven track record of publications in top-tier journals (e.g
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disciplines with PhD Extensive knowledge of machine learning/artificial intelligence and big data science Extensive knowledge of programming languages (ideally Python) Basic knowledge of synchrotron research
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artificial intelligence, data science and machine learning within the interdisciplinary research area of TUM GNI (AECOM domain with mathematics/informatics-oriented research). The TUM GNI Postdoc Program is
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scientific career. About us TUM’s new Computational Pathology and Medical Machine Learning lab (*2021) develops methods of machine learning (ML) and artificial intelligence (AI) for the analysis of digital