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to climate neutrality of the power, industry and building sector. This involves empirical, theoretical and numerical methods. For the position, experience with questions relating to electricity market design
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Qualifications / Experience: • A PhD in Physics, Geoscience or a related field • Proven expertise in numerical modelling using super computing clusters • Excellent knowledge of atmospheric physics • Proficiency in
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of Orthopaedics and Sports Orthopaedics and the Institute for AI and Informatics in Medicine. We work at the intersection of artificial intelligence, medical imaging, and clinical practice, developing methods
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Max Planck Institute for Radio Astronomy, Bonn | Bonn, Nordrhein Westfalen | Germany | about 4 hours ago
study, in particular through prototyping and testing of technologies and observing methods on APEX and related scientific analyses. The rest of the time will be for independent research in star formation
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funded through the EU Research Framework Programme? Horizon Europe - ERC Is the Job related to staff position within a Research Infrastructure? No Offer Description The University of Kassel is a modern and
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Helmholtz-Zentrum für Infektionsforschung | Braunschweig, Niedersachsen | Germany | about 1 month ago
) Country Germany Application Deadline 16 Sep 2025 - 22:00 (UTC) Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is
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microtome Performance of functional assays and microscopic analyses for computer-assisted modeling of liver and heart metabolism Knowledge of pluripotent stem cell cultivation is desirable In
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Bewerbungsende: 29.09.2025 VOICES is a multidisciplinary project in history, computer science, and engineering that studies testimonies of Holocaust survivors. For this, it uses computational
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available in the further tabs (e.g. “Application requirements”). Programme Description The programme enables academics from all over the world to undertake research residencies of 1-3 months at the Berlin
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for safety-critical bilateral teleoperation. The research will leverage a combination of passivity-based control methods and machine learning techniques to enable reliable and robust teleoperation in uncertain