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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 17 days ago
background, nationality, ethnicity, sexual identity, physical abilities, religion or age. Qualified applicants with physical disabilities will be given preference. Learn more about diversity at Helmholtz
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team explores new applications of AI in collaboration with the diverse scientific disciplines associated with the Helmholtz Association. Within our lab “Applied Machine Learning”, you will play a crucial
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10.06.2026, Academic staff A post-doctoral position is available in Physics-informed Generative Modeling and Multiscale Learning. The successful candidate will work at the interface of physics-based
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31.07.2026, Academic staff We are seeking a researcher in Scientific Machine Learning (SciML) to join the project "Data science at scale" at the Technical University of Munich, Germany. Ideal
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 2 months ago
advancing the state of the art in machine learning and its application to biology and medicine, with the ambition to build an internationally visible research group. The successful candidate will have the
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molecule interaction modeling, polymer physics, and statistical inference to investigate RNA structure, function, transport, and regulatory mechanisms in health and disease. AI and Machine Learning for RNA
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, video, or audio processing? Would you like to share your practical experience with our students through teaching and research? Then we are looking for you! Where to apply Website https
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Brandenburgische Technische Universität Cottbus | Cottbus, Brandenburg | Germany | about 2 months ago
jointly to further develop the strengths of the Cottbus–Senftenberg science hub and increase its visibility. Through innovative research and new teaching and learning formats, BTU is shaping the future: it
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Berlin conducts interdisciplinary science to understand, anticipate, and shape major disruptions from Artificial Intelligence (AI) to the way we think, learn, work, play, cooperate, and govern. Our goal is
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methods You will work closely with: - Dr. Martin Ramacher (machine learning for environmental applications) - Dr. Matthias Karl (urban air quality modelling and emissions) and collaborate within a project