118 computational-physics-"https:"-"https:"-"https:"-"https:"-"L2CM" Postdoctoral positions in Germany
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learning, medical image computing, biomedical engineering, medical physics, or related field Strong Python and PyTorch experience Solid publication record and ability to communicate research results
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computer programs High level of commitment and flexibility Physical resilience What we offer State-of-the-art laboratory equipment and analysis technology Varied and challenging work An open-minded, helpful
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(especially LLMs / VLMs) Human-AI Interaction Or Bring-your-Own research topic Who We Are Looking For: We seek highly motivated and talented individuals passionate about AI, Human-Computer Interaction, Eye
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 1 month ago
learning. It also offers the opportunity to work with data from the European XFEL facility at DESY. Project website Your profile Eligible candidates have strong skills in computational physics and
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-Westfalen 53115, Germany [map ] Subject Areas: Physics / Elementary Particle Theory , Dark Matter , Dark Matter and Axion , Dark Matter and Axion Physics , Elementary Particle Physics , hep , hep-ph , HEP
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analyzing developmental-oncogenic signaling pathways using a combination of experimental and computational approaches. Within this project, we are creating perturbation-based genetic maps at the level of
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of miniaturized imaging technologies. Your Profile: The successful applicant must have the following: • Ph.D. in natural sciences, electrical engineering, physics, optics, medical technology, biomedical computing
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the University of Vienna (Austria). Projects in the CRC 1756 aim to elucidate the molecular mechanisms of the generation, sensing, and cellular responses to chemical and physical triggers by applying
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | about 2 months ago
skills in computational molecular (bio)physics, statistical mechanics, scientific computing and also a keen interest in interdisciplinary research and collaboration with experimental groups. PhD students
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in biology, physics or a related discipline. You have experience in quantitative biology, experimental soft matter, or experimental biophysics. You enjoy working in interdisciplinary and international