191 parallel-computing-numerical-methods-"Prof" positions at Technical University of Munich in Germany
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02.02.2022, Wissenschaftliches Personal The Faculty of Informatics at the Technical University of Munich intends will fill a position at the earliest as Scientific Researcher (m/f/d) – 100%, TV-L
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research in the broad field of computational methods for the built environment. Particular emphasis is placed on building information modelling, digital drawings, point cloud capturing and processing as
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mobility, user demands, wireless system deployment) as well as the digital world (such as networking, memory, computational resources for different applications). Information about the physical and digital
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affiliated with the research group “Science & Technology Policy” of Prof. Dr. Ruth Müller. About the research project: The project “Science as a field of struggle: a multi-method empirical study of inequality
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in Earth Observation develops innovative methods for information extraction from remote sensing data in close cooperation with the Department EO Data Science of the Remote Sensing Technology Institute
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24.06.2021, Wissenschaftliches Personal The Professorship of Data Science in Earth Observation (Prof. Xiaoxiang Zhu) is seeking a research associate in the market of AI for Earth observation in
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Medicine (Director: Prof. Dr. Daniel Rueckert) is seeking to fill PhD candidate position (TV-L E13, 100% for 3 years) in Privacy-Preserving and Reliable Artificial Intelligence to be occupied starting from
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numerical studies. Develop NanoLPC application in additive manufacturing by developing a multiscale simulation tool for keyhole dynamics and pore formation prediction suitable for PBF applications. Expected
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26.07.2023, Wissenschaftliches Personal The Professorship for Cellular Agriculture (Prof. Dr.-Ing. Marius Henkel) was established in September 2022. Cellular agriculture is a multidisciplinary field
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full-time PhD candidate on the topic of “Automatic Recognition of building attributes” About us The TUM-Professorship for Data Science in Earth Observation develops innovative methods for information