102 data-"https:"-"https:"-"https:"-"https:"-"https:" positions at Technical University of Munich
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29.09.2025, Wissenschaftliches Personal About us The Professorship for Computer Architecture and Operating Systems at TUM Campus Heilbronn covers a broad range of research focus areas in computer
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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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the 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
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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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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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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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research ideas within 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
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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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and adults actively seek, select, and evaluate information to learn about the world. This is an open-topic position for doctoral or postdoctoral researchers who wish to pursue their own research ideas
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of entrepreneurship and/or family business, • possesses solid knowledge of empirical research methods, ideally in quantitative, qualitative, or experimental research designs, • demonstrates proficiency in data