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fields lie in the following areas (Divisions and Departments - Fraunhofer ITWM ): »Optimization« »Flow an Material Simulation« »Mathematics for Vehicle Engineering« »System Analysis, Prognosis and Control
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engineering, electrical engineering, industrial engineering), physics, mathematics, or a related field You have extensive experience in industrial ecology and material flow analysis and are confident in
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talented individuals passionate about AI, Human-Computer Interaction, Eye-Tracking, and their responsible applications. Ideal candidates will have: • An M.Sc. degree (or equivalent) in Computer Science, Game
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production engineering practice. What you will do You study mechanical engineering, automation technology, computer science, mathematics or a comparable subject You are interested in the use of artificial
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, Computational Biology, Applied Mathematics or related field Interest in interdisciplinary research Applied experience with machine/deep learning methods Ability to handle multiple projects in a dynamic
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) assess future changes in these patterns under different global warming scenarios. Requirements: The successful applicant should hold a MSc or PhD degree in physics, mathematics/statistics, climate science
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significant contributions to one or several of the following areas: · Automatic and/or interactive theorem proving · Innovative applications of theorem proving in Computer Science and Mathematics · Logic-based
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school currently hosts doctoral researchers from various backgrounds, such as geoinformatics, computer science, geography, ecology, mathematics, and information systems. Qualification concept
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Description TUD Dresden University of Technology, as a University of Excellence, is one of the leading and most dynamic research institutions in the country. TUD has established the Research
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of mathematical models to the development of new imaging-related techniques and compounds. The programme is searching for excellent students who hold a Master's degree in Biology (or related fields), Physics