57 computer-programmer-"https:"-"U"-"UCL" "https:" "https:" "https:" "https:" "https:" "Dr" "L2CM" Postdoctoral positions at Technical University of Munich
Sort by
Refine Your Search
-
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
-
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
-
application (motivation letter, CV, certificates, references, and publications) by 13 April 2026 to the following form: https://wkf.ms/4beNUNa Equal opportunity: The Technical University of Munich seeks
-
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
-
/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
-
mission-driven researcher to join a high-impact joint project with the World Wide Fund For Nature (WWF). We are reimagining how the world’s largest mission driven organizations plan, execute, and measure
-
. 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
-
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
-
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
-
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