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Researcher (R1) Positions PhD Positions Application Deadline 15 Aug 2026 - 23:59 (Europe/Berlin) Country Germany Type of Contract Temporary Job Status Full-time Hours Per Week 39,5 Offer Starting Date 1 Sep
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are supervised by a team of experienced scientists and benefit from a large network of PhD students from around the world. Further training courses and support are offered by the MARUM Research Academy (https
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are supervised by a team of experienced scientists and benefit from a large network of PhD students from around the world. Further training courses and support are offered by the MARUM Research Academy (https
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 2 months ago
programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Area of research: PHD Thesis Part-Time Suitability: The position is suitable for part-time employment. Job
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models. Further information about the group can be found on the GSI webpage: https://www.gsi.de/en/work/research/biophysics/biophysical_research/immune_system_and_tissue_radiobiology Your responsibilities
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Helmholtz Zentrum München - Deutsches Forschungszentrum für Gesundheit und Umwelt | Stein bei N rnberg, Bayern | Germany | 22 days ago
, reusable workflow development, documentation, and user training Your profile Master or PhD in informatics, bioinformatics, engineering, or related fields with corresponding work experience Strong programming
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03.06.2026, Academic staff The Research Group AI-Assisted Healthcare at TUM University Hospital is offering a fully funded PhD position (TV-L E13, 36 months) in a BMFTR-funded consortium on agent
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areas. Develop and implement advanced analytical approaches using programming and data science tools (e.g., Python, R). Co-supervise and mentor PhD, MD, Master’s, and Bachelor’s students. Contribute
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PhD and/or postdoctoral record with outstanding scientific achievements, international research experience, and publications in relevant journals and/or in top-tier machine learning venues (e.g
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Berlin conducts interdisciplinary science to understand, anticipate, and shape major disruptions from Artificial Intelligence (AI) to the way we think, learn, work, play, cooperate, and govern. Our goal is