89 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Technical University of Munich in Germany
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groups. Applicants with disabilities will be given preference in case of equal qualifications. More information about our research and team can be found here: www.lse.ls.tum.de/fmp. Application – Please
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15.11.2025, Wissenschaftliches Personal For the Chair of Advanced Analytics in Manufacturing Management, which is part of the Heilbronn Data Science Center and the TUM School of Management
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, genetics, multi-omics data analysis, and/or genome annotations (R or Python skills desirable) • Prior experience in engineering Aspergillus spp. is a plus • Strong motivation for interdisciplinary research
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preference in case of generally equivalent suitability, aptitude and professional performance. Data Protection Information: When you apply for a position with the Technical University of Munich (TUM), you are
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use of machine learning methods to process complex data sets. The focus is on techniques such as ultrasound, radar, computed tomography, acoustic emission analysis, and infrared thermography. Industry
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immediately and continue until the position is filled. Preference will be given to applications received by January 15, 2026. Only shortlisted candidates will be contacted. Data Protection Information: When you
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. Publish and present findings in international journals and conferences. Supervise and mentor junior researchers and students. Profile PhD in Computer Science, Biomedical Engineering, Data Science, or a
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guidelines into formal ontologies and knowledge graphs Design and develop modules for Medical Informatics Initiative (MII)/FHIR interoperability of the research prototype Work closely with clinicians and data
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performance. Data Protection Information: When you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take
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the VIOLET research framework Work closely with clinicians and data scientists to ensure the developed systems meet clinical needs and are validated against real-world scenarios Mentor and supervise PhD