57 computer-security "https:" "https:" "https:" "https:" "https:" "Dr" "Dr" "Robert Gordon University" Postdoctoral positions at Technical University of Munich
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Methods Reachability Analysis Computational Geometry Context The applicant will be directly advised by Prof. Matthias Althoff ( https://www.ce.cit.tum.de/cps/members/prof-dr-ing-matthias-althoff/ ). Besides
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advance algorithmic justice through participatory design” (PARTIALJUSTICE) to examine issues of justice and participation in artificial intelligence (AI), led by Dr. Amelia Fiske. Despite its potential, AI
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04.02.2026, Academic staff The successful candidates will be part of the Munich Climate Center and the Earth System Modelling group at TUM (https://www.asg.ed.tum.de/esm/home/) and will be closely
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09.02.2026, Academic staff The Laboratory for Ethics of Artificial Intelligence and Neuroscience at the Technical University of Munich (TUM), headed by Prof. Dr. Marcello Ienca, is seeking
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/264ffa19ca70e3ec41032fe6a4802932b5eda4e6.pdf https://ieeexplore.ieee.org/document/10068193 Job Specifications For PhD applicants: Excellent Master’s degree (or equivalent) in computer science, engineering, or related disciplines (typically
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communication with international consortium partners and representation of the project at conferences Your Profile • Completed doctoral degree (Dr. / Ph.D.) in Computer Science, Medical Informatics, Biomedical
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organoid-based research. For more information go to: https://www.bauschlab.org Your Qualification: High motivation, curiosity, and commitment to scientific excellence PhD in stem cell biology, developmental
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for safety-critical bilateral teleoperation. The research will leverage a combination of passivity-based control methods and machine learning techniques to enable reliable and robust teleoperation in uncertain
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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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. 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