Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Nature Careers
- Technical University of Munich
- Forschungszentrum Jülich
- Leibniz
- Heidelberg University
- University of Tübingen
- Max Planck Institute for Plasma Physics (Greifswald), Greifswald
- ; Max Planck Society
- DAAD
- Free University of Berlin
- Max Planck Institute for Astronomy, Heidelberg
- Max Planck Institute for Demographic Research (MPIDR)
- Max Planck Institute for Human Development, Berlin
- Max Planck Institute for Molecular Biomedicine, Münster
- Max Planck Institute for Multidisciplinary Sciences, Göttingen
- Max Planck Institute for Physics, Garching
- Max Planck Institute for Plasma Physics (Garching), Garching
- Max Planck Institute for Social Law and Social Policy, Munich
- Max Planck Institute of Biophysics, Frankfurt am Main
- 9 more »
- « less
-
Field
-
algorithms in extremely complex and enormously large spaces motivated by physics and chemistry Developing interpretable AI for scientific discovery in physics (example here ) Formal mathematics (using Lean’s
-
project team on “Participatory Algorithmic Justice: A multi-sited ethnography to advance algorithmic justice through participatory design” (PARTIALJUSTICE) to examine issues of justice and participation in
-
. Are you interested in applying your machine learning and deep-learning expertise to develop cutting-edge ecological and environmental research? The Senckenberg Gesellschaft für Naturforschung invites you to
-
. The project’s overarching goal is the development of digital quantum algorithms for the simulation of non-abelian lattice gauge theories. We are looking for highly motivated individuals, with the desire
-
algorithms into an existing framework, with a focus on efficiency, as well as creation and execution of relevant simulation pipelines: from real data to mathematical and clinically actionable results
-
algorithmic algebra. For more information about the TUM Department of Mathematics, please visit our website: https://www.math.cit.tum.de/en/math/home/. The position is a full-time position (100%), initially
-
SEAGUARD This position is embedded in the SEAGUARD project (Seagrass Growth and Adaptation Using AI Research & Development), which focuses on assessing the CO₂ storage potential of seagrass meadows and
-
near-real-time forecast system for the Baltic Sea Generate high-resolution daily surface salinity maps for the Baltic Sea and validate them with available observational datasets Develop algorithms and
-
Your Job: We are looking for a postdoc to further develop probabilistic, statistical and game-theoretical methods for application in international nuclear safeguards. The tasks include: Connect
-
to develop a 3D-generative algorithm for pharmaceutical drug design by using or combining novel machine learning approaches? How would you integrate machine learning, physics-based methods in an early-stage