83 structural-engineering-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Technical University of Munich
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. Friesecke. Appointments are initially for one year, and are renewable for a further two years. Main research themes in our group are analysis and algorithm design in electronic structure theory (especially
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. Working across this entire pipeline provides a rare opportunity to shape a cutting edge imaging technology from its foundational concepts through to its biomedical use cases in complex biological systems
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. Alena Otto holds the Professorship in Advanced Analytics in Manufacturing Management in the Department of Operations & Technology and Heilbronn Data Science Center at the Technical University of Munich
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invasive in blood biomarker detection. In collaboration with our partners at the Karlsruhe Institute of Technology (KIT), you will develop data analysis pipelines as well as signal processing and inference
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learning, medical image computing, biomedical engineering, medical physics, or related field Strong Python and PyTorch experience Solid publication record and ability to communicate research results
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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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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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-Tracking, and their responsible applications. Ideal candidates will have: An M.Sc. degree (or equivalent) in Computer Science, Game Engineering, Mathematics, Statistics, or related fields. Strong programming
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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