Sort by
Refine Your Search
-
Listed
-
Employer
- University of Amsterdam (UvA)
- Delft University of Technology (TU Delft)
- Utrecht University
- Leiden University
- Wageningen University & Research
- Eindhoven University of Technology (TU/e)
- University of Twente
- AMOLF
- Erasmus University Rotterdam
- Radboud University
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Vrije Universiteit Amsterdam (VU)
- ARCNL
- DIFFER
- Erasmus University Rotterdam (EUR)
- European Space Agency
- Radboud University Medical Center (Radboudumc)
- Tilburg University
- 8 more »
- « less
-
Field
-
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 to work
-
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
-
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
-
carrying different combinations of bacteria and phages, using mRNA, small RNA and single-cell RNA sequencing. In addition, you may also contribute to ongoing bioinformatic projects in the lab. Tasks and
-
and verification techniques for the design of the Drag-Free Attitude and Orbit Control System of the Next Generation Gravity Mission. To achieve this goal, four different objectives must be fulfilled
-
environment: we want to develop talent and creativity by bringing together people from different backgrounds and cultures. We recruit and select on the basis of competencies and talents. We strongly encourage
-
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