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)
- Erasmus University Rotterdam
- University of Twente
- AMOLF
- 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
-
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
-
on topics such as leadership for academic staff; multiple courses on topics such as time management, handling stress and an online learning platform with 100+ different courses; 7 weeks birth leave (partner
-
about race and ethnic difference. A more detailed description of the research project is available here . You are strongly encouraged to consult this description to prepare your application. As part of
-
TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe
-
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
-
, and fairness attacks, as well as to increase the trust that their users have in these systems, while accounting for different phases of the AI life cycle, starting from data collection through training
-
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
-
outcomes under different market design scenarios. The research will combine machine learning, stochastic optimization, and agent-based modelling with behavioural experiments. Case studies from emerging
-
different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using
-
international governments, the private sector and NGOs. What you bring In this team, we are looking for someone who can work independently. Every job is different, so in the beginning we will devote attention