18 design "https:" "https:" "https:" Postdoctoral positions at Technical University of Munich
Sort by
Refine Your Search
-
system behaviors, thereby enabling the sound transfer of safety properties from models to real-world systems. The research combines methodological innovation with real-world impact and includes topics
-
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
-
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
-
agenda on scaling and impact of sustainable enterprises, and is encouraged to develop their own complementary research stream within this domain. The position is designed to support the development
-
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
-
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
-
• Implementing embedded ethics research in clinical neuroscience and neurorobotics laboratories • Designing and carrying out qualitative and mixed-methods studies (e.g. interviews, ethnography, workshops
-
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
-
project is to uncover how collective dynamics and signal-ing feedbacks drive robust pattern formation during early development. We apply advanced stem cell culture approaches, 3D organoid engineering, and
-
. 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