153 associate-professor-computer-science-"https:"-"https:"-"https:"-"https:"-"https:" positions at Technical University of Munich in Germany
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/MSc degree in bioinformatics, computer science, mathematics, life sciences - background in Machine Learning and/or RNAseq analysis - interest in biological applications - passion for science and
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the opportunity to contribute to the Public Science Lab, the Ethical Data Initiative (www.ethicaldatainitiative.org), the TransforM excellence cluster and the PHIL_OS project (https
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Associate (Postdoctoral fellow) or PhD student to join our team starting from now onwards. This position is funded for three years and focuses on cutting-edge research in the field of B cell immunology
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• You have a degree (Master’s or equivalent) in Civil Engineering or Mechanical Engineering with a strong focus on continuum-solid mechanics and computational methods. • You have experience in and
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10.05.2024, Academic staff The Munich Institute of Integrated Materials, Energy and Process Engineering (MEP), based in Garching, is an integrative research center that combines the areas of 4D
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://application.vc.in.tum.de/ TUM and VC & AI Lab: The Technical University’s computer science department is the Top-1 ranked computer science department in Germany. Our culture is highly international with over 50
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candidates will have a background in computer science, statistics, mathematics, or related fields, as well as an interest in social science research methods and theories. The PhD positions will be part of a
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other CRC members (fellow doctoral researchers and supervising professors); implementation of the planned research program, evaluation and interpretation of the results, elaboration and presentation
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for admission to a Ph.D. program at TUM. More infor-mation on a doctorate at TUM can be found on the websites of the TUM Graduate School and of the Graduate Center of Engineering and Design. What we offer Full
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master’s degree in mathematics, theoretical computer science, machine learning, or a closely related field. Strong background in discrete optimization, algorithms, or reinforcement learning. Good programming