41 assistant-professor-computer-science-data-"https:"-"https:"-"https:" PhD positions at Technical University of Munich
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12.01.2026, Academic staff The Professorship of Machine Learning at the Department of Computer Engineering at TUM has an open position for a doctoral researcher (TV-L E13 100%; initial contract 1.5
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imaging. Your Profile: The successful applicant must have the following: • Master’s degree in physics, biophysics, biomedical engineering, computer engineering or electrical engineering. • Excellent track
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02.02.2026, Academic staff The newly established research group in Particle and Fiber Technology for bio-based Materials, led by Prof. Dr. Wenwen Fang, is seeking a highly motivated PhD in
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characterization and application in biological tissue. Working across this entire pipeline offers a rare opportunity to help shape a technology from its earliest foundations through to its first biomedical use cases
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10.01.2022, Academic staff The Chair of Computational Modeling and Simulation (CMS) at Technical University Munich invites applications for the position of a Research Assistant (m/f/d
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15.05.2021, Wissenschaftliches Personal The chair of Software Engineering for Business Information Systems (sebis) at the Technical University of Munich is looking for an excellent candidate for a
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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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or interest in this position. General information and research topics of the Maaß-group can be found at www.maass.nu. The position is suitable for disabled persons. Disabled applicants will be given preference
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/ protein biochemistry expertise is of advantage • Experience in analyzing protein structural data (not necessarily acquiring the data) • Having already worked with GFP-like or Bacteriophytochrome-like
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resource economics) or related disciplines strong analytical (i.e. microeconomics, production or resource economics) and methodological skills with a focus on quantitative data analysis (e.g. econometrics