74 structural-engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" 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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production concepts shall be investigated. You should hold a MSc. or Dipl. degree in aerospace or mechanical engineering well above average and you should have experience in designing, building and testing
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, Mechanical Engineering, Electrical Engineering, Computer Engineering, or a closely related discipline. Strong research interest in telerobotics, shared control, human–robot interaction, or networked control
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learning Solid knowledge of scientific software engineering Expertise in analyzing omics data and/or imaging data Experience in conducting, ideally managing, interdisciplinary projects and communication Your
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an opportunity to rethink the entire engineering design process. By integrating cutting-edge health research, emerging technologies, circular economy principles, and sustainable materials science, we can create
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projects with high societal impact A senior, independent research role with habilitation potential Structured mentoring and access to Talent Management programs An interdisciplinary and international working
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applications, technology, and research. Compensation The position will be paid in accordance with the Collective Agreement for the Civil Service of the Lands (TV-L). Your qualifications • A Master’s level
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. Contact Prof. Holger Boche, Technical University of Munich, School of Computation, Information and Technology, Chair of Theoretical Information Technology, Theresienstrasse 90, 80333 Munich. https
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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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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