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Postdoctoral position in Bioinformatics/Computational Biology (m/f/d) (full-time position 100 % ~ 38
of the university hospitals in Germany. The group of Prof. Dr. med. Kaan Boztug at the Clinic of Pediatric Immunology and Rheumatology (Centre of Pediatric, University Hospital Bonn) offers a Postdoctoral position in
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, and artificial intelligence with application-oriented research that unlocks the potential of data through rigorous analysis – advancing solutions in societally relevant domains. About our group Prof. Dr
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Postdoctoral Research Associate (f/m/d) for an Interdisciplinary Research Project on AI in Education
funding program starting January 1, 2026. The workplace and employment will be at the Center for Media, Communication and Information Research (ZeMKI) in the research lab "Media & Education" led by Prof. Dr
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-1,3,3,3-tetrafluoropropene (R1234ze(E)). The position combines mechanism building and validation with algorithm and database contributions to RMG, supported by electronic-structure data from literature, and
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influenced corrosion (MIC) in marine environments. It uses AI-supported models, Bayesian data fusion, and real-time sensor data integration. Your responsibilities include: Development of a digital twin (DT
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the Core Unit for Stem Cell Technology under the direction of Prof. Michael Ziller, Dr. Yotam Menuchin-Lasowski and Prof. Tanja Kuhlmann at the Faculty of Medicine of the University of Münster
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list of publications, a statement of research interests and experience, and the names (address, and email) of up to three potential referees, should be sent to: Prof. Dr. Kostas Kokkotas Theoretical
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29.09.2025, Wissenschaftliches Personal The Chair of Decision Sciences and Systems at the Technical University of Munich (TUM), led by Prof. Martin Bichler, is seeking outstanding candidates to join
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Postdoctoral Positions in Applied and Numerical Analysis Technical University of Munich (TUM) Chair of Applied and Numerical Analysis – Prof. Massimo Fornasier The Chair of Applied and Numerical Analysis
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or natural sciences Sound knowledge in machine learning algorithms, statistical methodologies, and biological network analysis Experience with the analysis and integration of transcriptomic and multiomics data