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- Technical University of Munich
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leading scientists from mathematics, particle physics, astrophysics, and cosmology at the University of Hamburg and DESY. As part of the cluster's technology transfer activities, this project aims
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Profile PhD in Electrical Engineering, Mechanical Engineering or a related field Background in numerical methods, mathematical modeling, and network simulation or analysis Good understanding of power
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University of Munich is required. Salary and benefits are in accordance with the German public sector scale, TV-L E13. - Your Profile 1. Strong mathematical background (e.g., linear algebra, optimization
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Helmholtz Association of German Research Centres | Oldenburg Oldenburg, Niedersachsen | Germany | 3 months ago
perspective and mindset. The title HUMAN PROGRESS is intended to provoke critical inquiry. It combines the progress-oriented thinking of the natural sciences and engineering with the word ‘human’ to invite
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Potsdam-Institut für Klimafolgenforschung e.V. (PIK) | Potsdam, Brandenburg | Germany | about 2 months ago
) in a relevant field, such as economics, geography, climate sciences, physics or mathematics experience in quantitative research, documented by relevant publications in peer-reviewed journals (for PhD
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the opportunity to further develop their research agenda and academic profile. The position includes teaching responsibilities and support for competitive grant applications. Research Focus You will use game theory
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the consortium. Your Profile Excellent Master in Computer Science, Engineering, Biophysics, Applied Mathematics, Computational Biology, or a related discipline Proven programming expertise in Python (scientific
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energy conversion. We use element-specific methods such as X-ray absorption spectroscopy at synchrotron radiation sources and free-electron lasers. A wide variety of magnetic material systems are studied
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supplement for a German job ticket (Deutschland-Ticket) at both locations. We look forward to receiving your application via our application portal: Apply now DESY promotes the professional development
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information, applying hydrological models to simulate extreme floods, and contribute to recommendations for practice on flood design estimation. Your responsibilities: Develop and apply statistical methods