268 3-phd-positions-in-computer-science-artificial-intelligence Postdoctoral positions in Germany
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, epigenetics, cardiovascular science, computational biology, or a related field A strong background in chromatin biology, gene regulation, and/ or cardiovascular biology Prior experience with genomics
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09.07.2025 Application deadline: 01.09.2025 The University of Tübingen invites applications for four Postdoctoral Researcher positions (m/w/d, E13 TV-L, 100%) within the ERC-funded Synergy Project
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of Computation, Information and Technology (CIT), located on the Garching Campus, starting October 01, 2025 or later. The group is seeking a highly qualified candidate for a postdoctoral position who possesses
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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | 3 months ago
would be desirable. The full-time postdoc position is initially two years, with the possibility of further extension up to three years. Salaries will be paid at German civil service rates (TVöD-Bund
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: completed scientific higher education degree (PhD) in the field(s) of Earth system science, physics, climate physics, geosciences, mathematics, computer science or a comparable field demonstrated experience
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To strengthen our team and join our junior faculty, we are looking for a Postdoctoral researcher / Economist (f/m/d) with a focus on projects in the field of the economics of education, in
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: completed scientific higher education degree (PhD) in the field(s) of Earth system science, physics, climate physics, geosciences, mathematics, computer science or a comparable field demonstrated experience
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(e.g., Teuken 7B, Llama 3, Mistral 7B) specifically for physics and materials science applications scenarios as well as for related research data management tasks Developing LLM-driven agents
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Post-doctoral researcher (m/f/d)in ‘‘Marine Microbial Natural Product Chemistry’’ The position is available for 3 years starting at the earliest date possible. Job Description Innovative cultivation and
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prostate tumor samples. This position requires a strong background in both experimental proteomics and computational data science (R and Python), with an emphasis on LC-MS/MS workflows and long-term cohort