70 software-verification-computer-science-"Prof" PhD positions at Technical University of Munich
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into future technology requirements. The project will be carried out at the Institute of Turbomachinery and Flight Propulsion, bearing the following tasks: - Research on the fundamentals of highly three
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fundamental knowledge about the handling and capturing of flow behavior in multistage compressors. The collaborative frame with a prestigious industry partner will give insight to future technology requirements
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are necessary to complete the task. If you hold a diploma or Master's degree in Computer Science or Engineering, possess a sound knowledge of applied informatics and want to join a highly motivated research group
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Nemetschek Institute of Artificial Intelligence for the Built World and conducted in collaboration with a range of other TUM chairs from the Geodesy and Computer Sciences domains. Tasks Your duties will
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06.06.2022, Wissenschaftliches Personal Join the team of Prof. Karen Alim at the TUM Campus Garching to investigate how blood vessels self-organize their network to reach homogeneity in blood flow
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interested in. The deadline for applications is March 31st, 2023. For further information, please contact: Prof. Dr.-Ing. Jakob Burger Laboratory of Chemical Process Engineering Tel. +49 9421 187 275 burger
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the developed code Publishing the developed approaches in international journals and conferences Requirements Promising applicants have: A master’s degree in Computer Science, Geodesy, or related discipline Very
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modelling is greatly beneficial. Excellent English and the willingness to learn the German language are necessary to complete the task. If you hold a diploma or Master's degree in Computer Science
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networks and their demonstration as proof-of-concept implementation in an experimental 6G testbed. Your qualifications MSc in Computer Science or Electrical Engineering Strong background in networking and
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of results in peer-reviewed journals and presentation at international conferences. Requirements: Above average Master’s degree in engineering, applied mathematics, physics or computational science Good