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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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, computer science, medicine, pharmacology, and physics. ISAS is a member of the Leibniz Association and is publicly funded by the Federal Republic of Germany and its federal states. At our location in
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PhD position - Stress-testing future climate-resilient city and neighbourhood concepts (Test4Stress)
climate simulations and interact with stakeholders to develop physically plausible heatwave scenarios for the city of Hamburg and the rural region of Heide in Schleswig-Holstein. In a participatory approach
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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researcher with a passion for developing new computational tools and contributing to cutting-edge research at the intersection of Physics and Earth system science. Background and relevance of the project
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The Process and Systems Engineering Center (PROSYS) at the Department of Chemical and Biochemical Engineering, Technical University of Denmark (DTU), is seeking a highly motivated and skilled
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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(FSTM) at the University of Luxembourg contributes multidisciplinary expertise in the fields of Mathematics, Physics, Engineering, Computer Science, Life Sciences and Medicine. Through its dual mission
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DTU Tenure Track Researcher in Nutrition, Sustainability and Health Promotion with a focus on Sus...
of DTU’s Tenure Track program. Read more about the program and the recruitment process here . You can read more about career paths at DTU here . Further information Further information may be obtained
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materials science, physics, chemistry, electrical engineering (or a similar discipline) with focus on sensorics; experience in data processing and machine learning; experience in 2D materials synthesis and