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genomics, virtual cell models Graph-based neural networks, optimal transport Biomedical imaging, deep learning, virtual reality, AI-driven image analysis Agentic systems, large language models Generative AI
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supported by an external team of deep-learning experts. You will also become an integral part of the Multiscale Cloud Physics Group currently being established by Dr Franziska Glassmeier at the Max Planck
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both. Ideally, you bring strong technical expertise and the curiosity to work across modalities and domains. Your responsibilities Design and implement machine learning and deep learning pipelines
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Methodological competence: Strong programming skills, ideally including experience in deep learning and/or high-performance computing Passion for method development Very good English communication skills – both
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Area of research: Scientific / postdoctoral posts Job description: PostDoc in "Mechanistic understanding of the biological carbon pump" (f/d/m) Background The biological carbon pump plays a crucial
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bodies down to the bottom of the deep sea. The Aquatic Life Foundation Project (AqQua ) will, for the first time, combine billions of images acquired with a variety of devices across the globe for large
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Economics (m/f/d) (Position number: 14-2025 Postdoc Spatial Equilibrium) in the field of spatial equilibrium modeling, starting on 01.08.2025. The position is initially funded for 18 months, with
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motivated PhD students, interns, and PostDocs at the intersection of computer vision and machine learning. The positions are fully-funded with payments and benefits according to German public service
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environment (e.g. cleanroom, laboratory Deep knowledge of solid state physics and/or quantum information Experience with microfabrication and/or operating and calibrating quantum systems Experience with
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03.04.2024, Wissenschaftliches Personal Postdoc Green Hydrogen Financing (m / f / d) at the TUM School of Social Sciences and Technology, Professorship for Public Policy for the Green Transition