42 assistant-professor-computer-science-data-"https:"-"https:" Postdoctoral positions at Technical University of Munich
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Informatics Initiative (MII)/FHIR standards Design and implement methodological concepts and software for benchmarking frameworks for AI evaluation Independently develop and implement research ideas within
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to apply. Applicants with disabilities are treated with preference given comparable qualification. further information: www.bio.nat.tum.de/cell/home/ The position is suitable for disabled persons. Disabled
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, structural biology methods Expertise with computational workflows, scripting, or data analysis Excellent organizational, communication, and project management skills, ability to work interdisciplinary and
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-throughput data acquisition Quality control, method validation, and standardization of analytical procedures Collaboration with research groups within BioSysteM and exchange with your Technology hub colleagues
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Department of Computer Science is part of the TUM School of Computation, Information and Technology (CIT). Employment Conditions • Start date: Flexible, from January 2026 onward • Salary: Based on the German
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activities. ________________________________________ Candidate Requirements ✅ PhD degree in Engineering, Computer Science, Systems & Control, Statistics, Computational Physics, Computational Chemistry
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applying computer science methods within the context described above. In particular, you will coordinate the contributions of the professorship to the EU project INTELLIGENT (https://intelligent-project.eu
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-MS. (previous works e.g.: https://www.nature.com/articles/s41563-019-0555-5). Ideally, the applicant takes over the co-supervision of selected PhD candidates. We are looking for an individual with a
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skills in Python, Java, C++, etc. A solid foundation in generative AI, machine learning, and related areas. An Interest in eye-tracking technology, Computer Vision, Speech/ Language Processing, VR, and AR
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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