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assessment, programming and machine learning. If so, we encourage you to apply! You will develop exposure and physical vulnerability maps for past and future (1970-2100) and integrate these into a flood risk
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 10 days ago
Contribute to advancing the MiROS technology from prototype to real-world application Your profile PhD (or MSc with strong experience) in electrical engineering, physics, biomedical engineering, computational
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | 18 days ago
results in peer-reviewed publications and at international conferences Your Profile PhD in oceanography, marine sciences, physics, geosciences, climate sciences or related field Experience in ocean
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, Physics or a closely related field. Completed PhD in one of the above or a closely related field. Strong background in Machine Learning and Artificial Intelligence, including interest in alternative
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Max Planck Institute for Multidisciplinary Sciences, Göttingen | Gottingen, Niedersachsen | Germany | 2 months ago
. Dr. Helmut Grubmüller, invites applications for a PhD Student or Postdoc (f/m/d) for the project Theory and Algorithms for Structure Determination from Single Molecule X-Ray Scattering Images Project
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from over 50 nations, it is the largest institute of the Max Planck Society. The Department of Theoretical and Computational Biophysics (Prof. Dr. Helmut Grubmüller) is inviting applications for a PhD
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at international conferences. Your profile PhD (degree or almost completed) in Physics, Applied Mathematics, Complex System or a related field. Strong background in mathematical modeling, machine learning
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Job description: DESY The CMS Quantum Computing group develops generative machine learning models for detector simulations, specifically the simulation of showers in calorimeters: Proof-of-principle
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Germany | 21 days ago
AI in biology. The successful candidate will design and implement physics-informed machine learning frameworks and predictive models to uncover how gene expression and mechanical forces interact
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section Participate in experimental campaigns at the European XFEL About you: PhD or equivalent experience in physics, engineering, or a related discipline is required Strong skills in numerical modeling