Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Delft University of Technology (TU Delft)
- Wageningen University & Research
- University of Amsterdam (UvA)
- Eindhoven University of Technology (TU/e)
- Leiden University
- Utrecht University
- Vrije Universiteit Amsterdam (VU)
- AMOLF
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- ARCNL
- Erasmus University Rotterdam (EUR)
- Radboud University
- Tilburg University
- 3 more »
- « less
-
Field
-
between the different expertise of the different groups. This synergy will not only yield a novel theoretical foundation for symmetries in BP but also advance state-of-the-art BP software—enabling
-
7100 Application You can respond to this vacancy online via the button below. Online screening may be part of the selection. Diversity code ARCNL is highly committed to an inclusive and diverse work
-
work culture in which we embrace differences, everyone is welcome and given equal opportunities. A vibrant campus in green surroundings that is easily accessible by public transport. For more information
-
communicating research findings and scientific insights to different types of audiences, including scientific, professional and community audiences; Collaborating with the chair holders and colleagues in the team
-
the scope of the research programme; Translating and communicating research findings and scientific insights to different types of audiences, including scientific, professional and community audiences
-
the coordination of the consortium and collaborating with partners. Where you will work Our Department The Department of Economics is a young, vibrant research community. We work together to make a difference
-
Institute (IvI) and which is a cross-institute collaboration at the Faculty of Science aimed at bridging the gap between modern machine learning developments and their applications to the different areas
-
from the areas of few-shot learning, continual learning and modular deep learning, as well as different LLM alignment frameworks, based on reinforcement learning and direct preference optimisation
-
the relativistic time dilation by only 1cm height difference in the gravitational field of earth. They are useful for searches of physics beyond the standard model, exploration of many-body physics, and societal
-
where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just