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for research, as well as job prospects in academia and industry. The successful postdoc will receive careful mentorship both from the supervisor and from other peers through a dedicated mentorship program
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degree in Physics, Materials Science, Computer Science, Data Science, or related fields Proven experience with large language models (LLMs), natural language processing (NLP), and fine-tuning techniques
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computer aided methods. Qualifications and Experience • Outstanding academic degree in materials science, metallurgy, metal physics or similar degree • Excellent doctorate with focus on computational
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stimulating, high-profile research project A fully funded multi-year postdoc position (remuneration according to TV-L salary scale 13) Training in wet-lab & computational work; intensive mentoring within
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student assistants and contribute to shaping the CRC’s research direction Your Profile PhD in computer science, neuroscience, machine learning, or related field Strong programming skills in Python and
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03.04.2024, Wissenschaftliches Personal Postdoc Green Hydrogen Financing (m / f / d) at the TUM School of Social Sciences and Technology, Professorship for Public Policy for the Green Transition
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30.05.2023, Wissenschaftliches Personal Bioinformatician/Computational Biologist/Systems Immunologist (f/div/m) for two years initially with a possibility of extension to 5 and more years
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accelerators for science. Currently, the new FAIR (Facility for Antiproton and Ion Research) one of the world's largest research projects, is being built in international cooperation. GSI and FAIR offer
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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | about 1 month ago
-energy group carries out major space hardware activities in support of its astrophysics research program, including the development of X-ray detectors and X-ray optics. The group has contributed
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Association. WIAS invites applications as Research Assistant Position (f/m/d) (Ref. 25/14) (PostDoc) in the Research Group Nonlinear Optimization and Inverse Problems (Head: Prof. Dr. D. Hömberg) starting as