Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Utrecht University
- Delft University of Technology (TU Delft)
- University of Amsterdam (UvA)
- Leiden University
- Radboud University
- Eindhoven University of Technology (TU/e)
- Tilburg University
- Wageningen University & Research
- University of Twente (UT)
- University of Twente
- European Space Agency
- Amsterdam UMC
- Radboud University Medical Center (Radboudumc)
- Delft University of Technology (TU Delft); Published yesterday
- Erasmus MC (University Medical Center Rotterdam)
- KNAW
- NIOZ Royal Netherlands Institute for Sea Research
- Nature Careers
- Vrije Universiteit Amsterdam (VU)
- ARCNL
- Amsterdam University Medical Center
- DIFFER
- Eindhoven University of Technology (TU/e); Published yesterday
- Leiden University; Published today
- Maastricht University (UM)
- University Medical Center Utrecht (UMC Utrecht); Published today
- University Medical Centre Groningen (UMCG)
- University of Amsterdam (UvA); Published yesterday
- University of Twente (UT); Published today
- 19 more »
- « less
-
Field
-
behaviour remain largely enigmatic. Your work will focus on developing computational tools to bridge the gap between high-resolution magnetic observations and micromagnetic simulations. You will lead the
-
on the CAO NU. In addition to the terms of employment laid down in the CAO NU, Utrecht University also offers a range of its own schemes for employees. This includes arrangements for professional development
-
of the simulation environment and models, and preliminary control methodology. Development of a high-fidelity simulation environment capturing the relevant dynamics, DFAOCS sensors and actuators and including all
-
neuroimaging frontier! Job description Understanding how the brain works is one of the most profound scientific challenges of our time. To that end, the development of new imaging methods is one of the most
-
developments in the field and either push the boundaries of SLT on the mathematical foundational theory side, extend SLT to new learning frameworks (e.g. variational inference or reinforcement learning, etc
-
at the intersection of military readiness and corporate operations. Defence capability development in Europe and European defence industry. Conduct independent empirically driven and comparative case-study focused
-
research groups within the Institute, supporting the development and implementation of the Institute’s research strategy. Assist in teaching and grading within courses in minor, bachelor and master programs
-
funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Do you want to develop key knowledge for an efficient energy transition through AI in
-
passionate Postdoc (exceptional PhD candidates may also apply) to join our team and develop the next generation of intraoperative neurosurgical image guidance. Currently, neurosurgeons lack real-time
-
in engineering multidisciplinary student teams. The project offers opportunities for collaboration with other ongoing research projects on team learning in CBL, while allowing the postdoc to develop