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Field
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to the success of the whole institution. Biomolecular condensates have emerged as a new paradigm to understand biological functions in living cells. Dresden has pioneered research in the field of biomolecular
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Max Planck Institute for the Structure and Dynamics of Matter | Hamburg, Hamburg | Germany | 2 months ago
9 Oct 2025 Job Information Organisation/Company Max Planck Institute for the Structure and Dynamics of Matter Department International Max Planck Research School for Ultrafast Imaging and Structural
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The International Max Planck Research School for Ultrafast Imaging and Structural Dynamics in Hamburg, Germany, offers a structured PhD program focusing on ultra-fast phenomena, X-ray physics and
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resonance imaging (fMRI) to measure functional activation during an emotion regulation paradigm. Besides, females will also undergo a resting-state measurement, diffusion tensor imaging and an anatomical scan
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Andrology (CeRA). Here, we investigate the cellular and molecular mechanisms underlying vascular and lymphatic control of gonad development, using advanced imaging, zebrafish models, and organoid systems. Our
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Max Planck Institute of Animal Behavior, Radolfzell / Constance | Radolfzell am Bodensee, Baden W rttemberg | Germany | about 3 hours ago
ecology, evolutionary biology, molecular biology, quantitative behavior, computer vision, and physics of behavior. We envision this project to primarily involve laboratory-based investigations, although
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? Other EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The International Max Planck Research School for Ultrafast Imaging and Structural Dynamics in
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clinical use-cases for benchmarking existing state-of-the-art (SOTA) Federated Learning algorithms. This includes running a few pre-processing pipelines. Develop SOTA FL algorithms that tackle data
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Area of research: Scientific / postdoctoral posts Starting date: 25.11.2025 Job description: The GSI Helmholtzzentrum für Schwerionenforschung in Darmstadt operates one of the leading particle
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(SOTA) Federated Learning algorithms. This includes running a few pre-processing pipelines. Develop SOTA algorithms in Robustness against data and model poisoning attacks. Develop SOTA algorithms in