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discipline relevant to our research fields (e. g. physics, computer science, electrical/electronic engineering, chemistry etc.). The knowledge of Python, C or other programming languages in use for accelerator
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for the PhD programme must have successfully completed a university course of study in veterinary medicine, medicine, dental medicine (state examination), biology, biochemistry, chemistry or in another field
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4 Sep 2025 Job Information Organisation/Company Johannes Gutenberg University Mainz Research Field Educational sciences » Other Researcher Profile First Stage Researcher (R1) Positions PhD Positions
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Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content (Veterinary) biomedicine (project-related courses), interdisciplinary basic sciences coursework, key
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establishing the institute`s research infrastructure and laboratory operations Your Profile: Bachelor or Master`s degree in physics, electrical engineering, control systems engineering, mechatronics, or a
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in full-time studies in the fields of computer science, mathematics, physics, electrical engineering or related courses with good to very good grades Programming experience, especially good to very
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through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The Max Planck Institute for Social
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Join our team as a Research Associate (m/f/d) in the research area of process engineering full-time (39.2 hr/week), fixed term for 3.5 years. Hiring is planned for 01.01.2026. As part of
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Our application process is not yet fully accessible. If you need assistance, please contact us – we'll be happy to help. If you have any questions please contact: Dr.-Ing. Dennis Kundrat Abteilungsleitung Individualisierte Therapie E-Mail: dennis.kundrat@imte.fraunhofer.de Mönkhofer Weg 239a,...
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interdisciplinary research team. We study tumor evolution and immune microenvironment adaptation by combining functional genomics, experimental model systems, patient samples, and computational biology (Brägelmann et