74 assistant-professor-computer-science-and-data PhD positions at Technical University of Munich
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, environmental or natural resource economics) or related disciplines strong analytical (i.e. microeconomics, production or resource economics) and methodological skills with a focus on quantitative data analysis
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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
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of TUM. Kontakt: TUM School of Life Sciences, Functional Materials of Food Pagaging, application.fmp@ls.tum.de More Information PhD PhD in Stimuli-Responsive Elastomers, (Type: application/pdf, Size: 166.9
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28.11.2024, Wissenschaftliches Personal Three funded PhD student positions are available at the Chair of Plant Systems Biology at the School of Life Sciences of the Technische Universität München in
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Profile The ideal applicant has a strong background in bioinformatics or computational chemistry, as well as data analysis and solid English-language skills. Experience with programming is highly
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26.11.2025, Wissenschaftliches Personal The Walther-Meißner-Institut (WMI, www.wmi.badw.de) of the Bavarian Academy of Sciences and Humanities (BAdW) is located at the TUM Campus Garching near
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) Excellent organizational skills Proficiency in the German language is an advantage but not required We offer A highly interdisciplinary research unit (Heilbronn Data Science Center) including professors
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, engineering, data science, and computer science. Skill Development: Our extensive qualification concept goes beyond research, offering targeted training in research methods, project management, and leadership
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08.09.2021, Wissenschaftliches Personal The Professorship of Machine Learning at the Department of Electrical and Computer Engineering at TUM has an open position for a doctoral researcher (TV-L E13
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journals. Close collaboration with team members and colleagues. Essential qualifications: M.Sc. in Computer Science, Machine Learning, or equivalent with interest in Medical Imaging and Deep Learning. Strong