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electron imaging integration of motion analysis in collaboration processing of images in preparation for image-based modelling Your profile PhD in physics, materials science, computer science, applied
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electron imaging integration of motion analysis in collaboration processing of images in preparation for image-based modelling Your profile PhD in physics, materials science, computer science, applied
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data processing, image/signal analysis, and machine learning. ✅ Familiarity with instrument control, calibration, and automation workflows. ✅ Excellent written and oral communication skills in English
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The Sigrist Lab at the Institute of Biology, Freie Universität Berlin, invites applications for a Postdoctoral Researcher position within the ERC-funded project SynProtect. The project investigates
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these emergent processes and is looking for a PhD student / PostDoc (f/m/d) The Mission Understanding how multicellular systems organize themselves into tissues is a central challenge in modern biology and
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advanced machine learning methods for multimodal and 3D medical image analysis in musculoskeletal medicine, in close collaboration with clinicians and computer scientists. PhD or Postdoctoral Researcher
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Potsdam, Brandenburg | Germany | 12 days ago
sea ice influence stratosphere–troposphere coupling and downstream extreme events, using advanced high-resolution ICON simulations and causal discovery techniques. The project will combine process-based
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Postdoctoral Position (f/m/d) | Spectro-Microscopy Studies of Complex Processes in Thermal Catalysis
-microscope. The PostDoc position is initially for one year but can be extended up to three years. Requirements A PhD degree in Chemistry, Physics or Physical Chemistry, preferably with a specialization in
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occupies a leading position both nationally and internationally. The Research Department Virus Genomics , headed by Prof. Adam Grundhoff,investigates chronically infecting DNA viruses, with a focus on the
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23.10.2025, Wissenschaftliches Personal Automated cell culture systems are transforming the way we study complex biological processes. By enabling reproducible, standardized, and high-throughput