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Field
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, machine learning or causal inference for estimating, understanding and forecasting demographic and health outcomes, at the individual and aggregate levels, including as they relate to life course and socio
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07.10.2025, Wissenschaftliches Personal We are looking for an outstanding, self-motivated postdoctoral researcher. The candidate should have a strong track record and experience in intestinal
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limited to three years. Responsibilities and duties The successful candidate is expected to contribute to the teaching and research of the department. He/she should have a good research track record in
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of clinicians, engineers, and computer scientists, and contribute to publications and conference presentations. Profile PhD track: Master’s degree in Computer Science, Biomedical Engineering, Data Science, or
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degree in the field of oncology or a related field Extensive background knowledge in (Immuno-)Oncology with track record Hands on experience in lab techniques (Molecular biology, Biochemistry, Cell culture
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achievements • very good track-record of research and publication activities, preferably on an international level in one of the following areas of management: Organization, strategy, alliances and networks
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. Interactive, adaptive learning technologies that integrate multimodal input (text, speech, gesture, eye-tracking) to provide personalized, responsive feedback. Human-AI co-adaptation: designing systems where
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track record of research and scientific publications. Desirable qualifications Experience with designing, conducting and analysing social science experiments. Familiarity with place-based and/or
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CV and a brief track record (publications, projects, software, funding experience if applicable) to florian.hinterwimmer@tum.de . We appreciate your interest in the Technical University of Munich and
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(typically mathematics, physics). For Postdoc applicants: Excellent track record in computer science or engineering. Fluency in spoken and written English is required. Proficient in at least one programming