Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Amsterdam (UvA)
- Utrecht University
- Leiden University
- Delft University of Technology (TU Delft)
- University of Twente
- Eindhoven University of Technology (TU/e)
- Vrije Universiteit Amsterdam (VU)
- Wageningen University & Research
- Erasmus University Rotterdam
- European Space Agency
- Radboud University
- AMOLF
- Amsterdam UMC
- KNAW
- Maastricht University (UM)
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Tilburg University
- ARCNL
- DIFFER
- Erasmus University Rotterdam (EUR)
- NIOZ Royal Netherlands Institute for Sea Research
- University of Twente (UT)
- 12 more »
- « less
-
Field
-
17 Mar 2026 Job Information Organisation/Company University of Amsterdam (UvA) Research Field Computer science » Informatics Computer science » Programming Sociology » Social shaping of technology
-
, including policies, infrastructure, technology, safety, economic incentives, and public acceptance. You will be involved in three specific subprojects: Analyzing the employment effects of the green transition
-
profile PhD candidate. The appointment will initially be for 1 year. After satisfactory evaluation of the initial appointment, it will be extended for a total duration of 4 years. Planned start date is
-
the Netherlands and across Europe. The programme addresses the system-wide conditions required to enable a successful hydrogen transition, including policies, infrastructure, technology, safety, economic incentives
-
in building part of the AI Collaboratory, a state-of-the-art compute infrastructure. Within the AI Collaboratory, the role of LUCL is to enable access to language data, advanced language technology and
-
conducts cutting-edge research in areas including data science, artificial intelligence, human–machine interaction, and computational modelling. It offers a vibrant international research environment with
-
Engineering, Medical Image Analysis, Applied Mathematics or a related field Experience with deep learning for image analysis, preferably in medical imaging Experience with generative modelling, ideally
-
Exploration) will further develop monitoring tools that currently have a TRL (technology readiness level) that is too low to allow for inclusion in the standard monitoring operations by Rijkswaterstaat
-
Leiden University is a world-class faculty where staff and students work together in a dynamic international environment. It is a faculty where personal and academic development are top priorities. Our
-
the functional diversification of synapses in defined neural circuits. In this project, you will use an array of approaches, including CRISPR/Cas9 genome editing, viral vector technology, and quantitative super