265 3-phd-positions-in-computer-science-artificial-intelligence Postdoctoral positions in Germany
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for a Postdoctoral Researcher / Academic Councillor (f/m/d) (salary group 13 TV-L or A13) Date of occupation: as soon as possible Contract duration: 3 years with the possibility of extension for another 3
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Technology (CIT) and TUM School of Medicine and Health is offering a 2y-4y postdoctoral full-time position in medical machine learning. The Computational Pathology Lab (https://schuefflerlab.org
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of Pathology (https://www.pm.mh.tum.de/path ), and is affiliated with the TUM School of Computation, Information and Technology (CIT, https://www.cit.tum.de/ ), the TUM School of Medicine and Health (MH, https
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Physics Theoretical Physics / Complex systems including applications to biology Complex Systems (more...) Computer Simulation Fluid Mechanics Appl Deadline: 2025/09/30 11:59PM (posted 2025/07/22
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to contribute to groundbreaking work in our research area. About the Program: We are implementing a program that creates an additional two year postdoctoral position exclusively for female researchers working in
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Oldenburg Oldenburg, Niedersachsen | Germany | 12 days ago
3 Sep 2025 Job Information Organisation/Company Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung Research Field Environmental science Researcher Profile Recognised Researcher
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good publication track record Above-average master’s degree in computer science, electrical/ mechanical engineering, applied mathematics, or a similar engineering-oriented quantitative discipline
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06.09.2021, Wissenschaftliches Personal The Institute for Communications Engineering is currently offering seven positions for PhD or postdoctoral candidates for the project "6G-life" which is
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study the degradation/evolution of the sensor chemistries under operating conditions. Qualified applicants must have: • A master's degree/PhD in chemistry, chemical engineering, materials science, or
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, enrichment analyses - biological interpretation of data Your qualification - PhD/MSc degree in bioinformatics, computer science, mathematics, life sciences - background in Machine Learning and/or RNAseq