280 computational-physics "https:" "https:" "https:" "https:" scholarships in Germany
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Carl von Ossietzky University of Oldenburg • | Oldenburg Oldenburg, Niedersachsen | Germany | about 20 hours ago
on research fields, such as Neurosensory Science and Systems (University of Oldenburg) https://uol.de/en/phd-neurosensory-science-2 Auditory Sciences: Physics and Engineering, Physiology and Therapy of Hearing
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, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. At our location in
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, extending them with physics-based approaches, and adapting existing physics-integrated neural network approaches for stress prediction in arterial walls and plaque. Another part of the project is exploring
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | about 15 hours ago
Researcher (R1) Application Deadline 30 Mar 2026 - 21:59 (UTC) Country Germany Type of Contract To be defined Job Status Other Is the job funded through the EU Research Framework Programme? Not funded by a EU
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the PhD programme and the recruitment process, please contact the IMPRS office: imprs-office@mpiwg-berlin.mpg.de . Please note that we cannot consider applications sent by e-mail or post. The e-mail
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testing process Your Profile: Excellent masters degree in physics, electrical engineering, mechatronics, process engineering or a similar field Strong interest in pursuing research on electrochemical
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-time full-time Programme duration 6 semesters Beginning Only for doctoral programmes: any time Application deadline Applications are possible throughout the year. For more information, please see: https
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, please visit: https://qbm.genzentrum.lmu.de/application/ Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content
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, energy systems, or material sciences A Masters degree with a strong academic background in mathematics, computer science, physics, material science, earth science, life science, engineering, or a related
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PhD programme with a focus on data science and research in the structure of matter. The graduate school covers data challenges from application fields such as structural biology, particle physics