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infrastructure research programme distributed across several institutes and universities in Germany. The programme aims at innovating the data landscape available for social science research by improving
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. The project will finally lead to new strategic plans for global observations of the relevant species. Your Qualifications / Experience: A master's degree in physics, engineering, environmental sciences, or a
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, informatics, physics or a related field strong expertise in machine learning strong interest in high performance computing on CPUs and GPUs proficiency in Fortran, Python, shell scripting proficiency with Linux
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personal skills. Candidates ideally combine several of the following skills and qualifications: A very good M.Sc. degree (or equivalent) in biology, physics, computer science, maths or a similar field A
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driven sources such as free electron x-ray lasers. With its research, MBI fulfils a national mission and is an integral part of the international scientific community. The Max-Born-Institute invites
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(TIB ) – Leibniz Information Centre for Science and Technology – Program Area C, Research and Development, is looking to employ a Research Software Engineer for Digital Research Infrastructure (m/f/d
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Creation and revision of texts and presentations Literature research Requirements You study psychology, social sciences or a related subject with a quantitative focus and have at least two semesters of
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engineering, or comparable disciplines Our offer Collaboration with national, international and multidisciplinary teams Possibility for a doctorate Flexible working hours (Work-Life-Balance) Remuneration in
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(Economic geography, political science, political ecology, development economics, development studies, natural resource policy, environmental economics, environmental sociology, international law). Research
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, environmental sciences, or a related discipline, is required. Basic knowledge and interest in atmospheric physics Skills in model & satellite data analysis is desired Fundamental programming skills and expertise