65 assistant-professor-computer-"https:" "https:" "https:" "https:" "Universidade do Minho CTAC" research jobs at Technical University of Munich
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Methods, LBM), and HPC. For a selection of possible research areas, see: https://www.math.cit.tum.de/math/forschung/gruppen/numerical-analysis/research/ Responsibilities: Development and analysis of new
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. In the ELUD research project, we address the question of if and when learning agents converge to an efficient equilibrium and when this is not the case. ELUD will design new algorithms for computing
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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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office.ethics@mh.tum.de https://get.med.tum.de/ www.tum.de If you apply in writing, we request that you submit only copies of official documents, as we cannot return your materials after completion
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combines cutting-edge computational techniques with traditional social science methods and we are equally interested in methodological innovation and in the broader consequences of automation for democratic
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vitae, a list of references and copies of key documents (transcripts, degree certificates) in a single PDF to the head of the Chair group, Professor Johannes Sauer (jo.sauer@tum.de). The positions will
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fits with your experiences and goals, your curriculum vitae, a list of references and copies of key documents (transcripts, degree certificates) in a single PDF to the head of the Chair group, Professor
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20.01.2026, Academic staff In the framework of the DFG priority program 1374 "Biodiversity Exploratories" We invite application for a (www.biodiversity-exploratories.de) the Arthopods project is
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, certificates, references, and publications) by 13 April 2026 to the following form: https://wkf.ms/4beNUNa Equal opportunity: The Technical University of Munich seeks to increase the proportion of women in
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societal aspects (ELSA) of NeuroAI in the life sciences and biomedicine. The project focuses on (i) neu-romorphic computing inspired by the human brain and (ii) AI-enabled neurotechnologies for clinical and