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computing platforms, especially neutral atom or Rydberg systems, is advantageous - proven experience with numerical methods and scientific programming for quantum systems - a strong record of research
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the Core Unit for Stem Cell Technology under the direction of Prof. Michael Ziller, Dr. Yotam Menuchin-Lasowski and Prof. Tanja Kuhlmann at the Faculty of Medicine of the University of Münster
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: access to the DKFZ International Postdoc Program and DKFZ Career Service with targeted offers for your personal development to further develop your talents Contact: Prof. Dr. Michele Wessa Phone: +49 (0
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29.09.2025, Wissenschaftliches Personal The Chair of Decision Sciences and Systems at the Technical University of Munich (TUM), led by Prof. Martin Bichler, is seeking outstanding candidates to join
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Max Planck Institute for Astrophysics, Garching | Garching an der Alz, Bayern | Germany | 24 days ago
working with Dr. Natalia Lahén on Computational Galaxy Evolution. The ERC-funded project ILMATAR focuses on the formation of globular clusters and the first galaxies in high-resolution hydrodynamical
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time 100 %, initially limited for 4 years with possible tenure) The department Computational Social Science (CSS) collects digital behavioral data and provides computer-based methods for collecting and
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Postdoctoral researcher (m/f/d) in the field of physics, physical engineering, technical computer sc
To strengthen our team in the division “Acoustic and Electromagnetic Methods" in Berlin-Steglitz, starting 01.01.2026, we are looking for a Postdoctoral researcher (m/f/d) in the field of physics
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willingness to learn: High-performance computing (distributed systems, profiling, performance optimization), Training large AI models (PyTorch/JAX/TensorFlow, parallelization, mixed precision), Data analysis
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sounding systems Basic knowledge on middle atmosphere dynamics and spectroscopic methods Fundamental programming skills in, e.g., Python, Julia, C/C++. Expertise in automatic data processing and handling
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Clinical Cooperation Unit (headed by Prof. Dr. med. Johannes Betge) aims to identify cancer vulnerabilities and uncover mechanisms of treatment resistance by using patient-derived cancer models and high