39 parallel-programming Postdoctoral positions in Ireland-University-Ranking-2024 in Germany
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- Technical University of Munich
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- University of Tübingen
- University of Potsdam
- Constructor University Bremen gGmbH
- Free University of Berlin
- Helmholtz-Zentrum Dresden-Rossendorf - HZDR - Helmholtz Association
- Leuphana University Lueneburg
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% international students in the MA program. The visual computing lab embraces its diverse culture, and is proud to host PhD students from over 10 different countries. Our lab language is English. The position is
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Scheer. The institute in Tübingen is a highly attractive workplace, with its departmental structure, flat hierarchies, well-established bachelor’s and master’s degree programs, and a workspace at
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areas. The role requires both independent work and effective collaboration, particularly during measurement campaigns at synchrotron and neutron facilities. Experience with programming languages such as
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(typically mathematics, physics). For Postdocapplicants: Excellent track recordin computer science or engineering. Fluency in spoken and written English is required. Proficient in at least one programming
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for the position the following: A Ph.D. in the field of Applied Mathematics, Computer Science, Computational Science and Engineering, or similar. Knowledge of numerics as part of a degree program. In particular
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systems in East Africa, and in the subtropics in Latin-America. The research programme will examine productivity of grasslands, nutrient stocks and cycling and their relationship to biodiversity. We conduct
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making this cooperation efficient and productive. As Research Associate you will also support our teaching activities in several Bachelor and Master programs offered by the School of Engineering and Design
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Latin-America. The research programme will examine productivity of grasslands, nutrient stocks and cycling and their relationship to biodiversity. We conduct experiments in the field to understand how
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and deep learning Programming experience with Python and Pytorch Strong analytical and problem-solving skills Excellent communication & interdisciplinary skills Fluency in English (written and spoken