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Max Planck Institute for Extraterrestrial Physics, Garching | Garching an der Alz, Bayern | Germany | 2 months 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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Work group: Gerics - Climate Service Center Area of research: Scientific / postdoctoral posts Starting date: 16.06.2025 Job description: PostDoc Position - Resilience enhancement through NBS
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compared to other major cities. Neither the job nor living in Berlin requires German language (although WIAS offers free German courses). We highly welcome international applications. Scientifically, Berlin
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or engineering. Fluency in spoken and written English is required. Proficient in at least one programming language, e.g. MATLAB, C/C++, Python. Highly motivated and keen on working in an international and
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Job Offer from June 04, 2025 The Fritz Haber Institute of the Max Planck Society for the Advancement of Science is one of the most internationally renowned research institutes. More than 400
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2040 programme. After reaching scientific gain in laser-driven ICF experiments at the National Ignition Facility, there is a global endeavour to turn the scientific milestone into practical application
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coding experience with e.g. Python/Matlab/R Practical experience with High Performance Computing, and scientific programming and a willingness to learn to work with high-performing computing systems
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research, data science, cognitive science, or related disciplines who are eager to engage deeply in the Institute’s research activities in empirical education. We especially welcome applications from
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Extensive knowledge of X-ray methods Knowledge of synchrotron science Knowledge of catalysis Experience in energy storage Experience with programming languages (ideally Python) Fluent in written and spoken
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coding experience with e.g. Python/Matlab/R Practical experience with High Performance Computing, and scientific programming and a willingness to learn to work with high-performing computing systems