68 assistant-professor-computer-science-and-data PhD positions at Technical University of Munich
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area has received best paper awards at PacificVis and Graph Drawing, with recent publications in IEEE Transactions on Visualization and Computer Graphics and Computer Graphics Forum. Environment
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a focus in economics, or related disciplines strong analytical and methodological skills with a focus on quantitative data analysis (e.g., econometrics, statistics, machine learning) a high motivation
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the perspective towards generating data for entrepreneurial seed funding (GO-Bio etc.) for a further development of the technology towards the market. In that sense we also highly encourage candidates that would be
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acknowledged the above data protection information of TUM. Kontakt: claus.schwechheimer@tum.de More Information 1 1 PhD position in Plant Cell and Molecular Biology (m/f/d) , (Type: application/pdf, Size: 120.4
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of Engineering and Design. Our teaching and research focus lies on computer-based development of engineering products, particularly on the planning and realization of built facilities using computational modeling
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14.08.2025, Wissenschaftliches Personal PhD (f/m/d) in Polymer Physics/Material Science funded by ERC StG with excellent opportunities for both research and career development. The Technical
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the testing of newly devel-oped materials and the use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission
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, studying health-related (mis-)information on social media and its impact on young adults. The position includes international research collaboration, methodological training, and a supportive work
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on Responsible Data Science. The PhD positions will be at the intersection of Data Science and Social Sciences and will focus on topics such as Explainable & Fair AI, AI Auditing, AI Alignment, and AI Safety in
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accessible to users from science and industry Your qualifications: ■ Master’s or equivalent graduate degree in computer science, artificial intelligence, machine learning, mathematics, statistics, data science