Sort by
Refine Your Search
-
Listed
-
Employer
- Delft University of Technology (TU Delft)
- University of Twente
- Leiden University
- University of Amsterdam (UvA)
- Radboud University
- Tilburg University
- AMOLF
- DIFFER
- Eindhoven University of Technology (TU/e)
- European Space Agency
- NIOZ Royal Netherlands Institute for Sea Research
- Vrije Universiteit Amsterdam (VU)
- 2 more »
- « less
-
Field
-
, the fusion community has started to develop fast surrogate models based on Machine Learning / AI models to speed up significantly the employed tools. Such tools have demonstrated to be generally applicable and
-
results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial
-
spacecraft and associated data governance challenges; obsolescence of traditional ways to deploy and sustain ground segment systems; new forms of space communications, such as optical and quantum technologies
-
, electronicis and communication. The main aim of this project is to detect lithium in sweat. However, other ions will be considered at a later stage of the project. You will furthermore integrate these yarns in a
-
communication skills. You will be joining a dynamic department with broad interests in biotechnology and synthetic biology across all domains of life. The research is funded as part of the NWO Open Technology
-
in September 2026. Physical learning is an emerging paradigm in which materials adapt their behavior through local physical rules, without digital computation. Despite rapid experimental progress, it
-
preservation of historic infrastructure, we welcome your application. Job requirements You excel in developing complex numerical models and analysing simulations, bringing strong communication skills
-
Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and Communication Technology (ICT). With ICT present in almost every device and product we use
-
Science (EEMCS) uses mathematics, electronics and computer technology to contribute to the development of Information and Communication Technology (ICT). With ICT present in almost every device and product we use
-
enable more resilient greening of cities, and therefore reduce the impact of climate change. Job description The ambition of this project is to create a 'digital twin' of the ecosystem services