1,142 engineering "https:" "https:" "https:" "https:" "Data driven Materials Modeling" positions in Germany
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TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. Founded in 1828, today it is a globally oriented
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currently comprises six independent research groups and is closely integrated into the Department of Infectious Diseases (https://www.klinikum.uni-heidelberg.de/zentrum-fuer-infektiologie/molecular-virology
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Alfred-Wegener-Institut Helmholtz-Zentrum für Polar- und Meeresforschung | Bremerhaven, Bremen | Germany | about 1 month ago
training program that promotes cross-disciplinary collaboration and provides in-depth scientific insight as well as a systematic approach to marine data science. For more information, visit: https
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assessment of social functioning. Your role: Conduct and support interdisciplinary research at the intersection of social cognitive neuroscience, psychology, and portable technology. Support data analysis
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available in the further tabs (e.g. “Application requirements”). Objective The scholarships offer students from Indian Institutes of Technology (IIT) the opportunity to complete a project work as part of
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on professorships, hiring processes, and the German academic system can be found here: https://uni-tuebingen.de/en/213700 Please submit your full application through the application site of the University of Tübingen
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. Starting date: 1 February - 31 July 2027 Where to apply Website https://www.imb.de/phd/apply Requirements Research FieldBiological sciencesEducation LevelMaster Degree or equivalent LanguagesENGLISHLevelGood
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Intelligence) is being expanded into a leading German AI competence center for Big Data and Artificial Intelligence (AI). For TUD Dresden University of Technology, diversity is an essential feature and a quality
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highly collaborative research environment, equipped with state-of-the-art technology platforms. Our researchers are dedicated to understanding the molecular mechanisms of health and disease, driving
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Systems Engineering (ICE-1), our focus is on developing models and algorithms for simulating and optimizing decentralized, integrated energy systems. These systems are characterized by the high spatial and