Sort by
Refine Your Search
-
Listed
-
Employer
- University of Twente (UT)
- Delft University of Technology (TU Delft)
- European Space Agency
- University of Twente
- University of Amsterdam (UvA)
- Delft University of Technology (TU Delft); Published 11 Nov ’25
- Eindhoven University of Technology (TU/e)
- Erasmus MC (University Medical Center Rotterdam)
- Tilburg University
- University of Amsterdam (UvA); Published 21 Nov ’25
- University of Amsterdam (UvA); Published today
- University of Amsterdam (UvA); Published yesterday
- Vrije Universiteit Amsterdam (VU)
- 3 more »
- « less
-
Field
-
on resilient 6G connectivity for mission-critical applications, and contribute to innovative European and Dutch national projects together with a team of talented PhD researchers? Information The future 6G
-
classical computing algorithms are NP-hard or, in general, difficult to implement. Within your application, please provide a research proposal (no more than five pages) answering the following questions: What
-
Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Do you want to develop human-centred RL algorithms to shape
-
of AI for the integration of multimodal healthcare data specifically incorporating patient preferences. This includes investigating new methods but also designing and benchmarking integration algorithms
-
designing and benchmarking integration algorithms. The position is situated in the Intelligent Data Engineering Lab and will be supervised by Dr. Jan-Christoph Kalo and Prof. Paul Groth. What you will do
-
strategy; participate in internal research sprints to explore, test and validate novel EO concepts, algorithms and workflows in a fast-paced, collaborative environment; engage with the innovation ecosystem
-
control and energy-management algorithms for efficient and reliable long-duration operation. Implement hardware-in-the-loop (HIL) and real-time co-simulation for validation under realistic grid scenarios
-
postdoctoral researcher who thrives in interdisciplinary environments and has a clear drive to bridge academic research with real-world applications. We list the following key qualifications: PhD degree in
-
construction, and a robust foundation in statistical spectral analysis, including familiarity with (or strong interest in) chemometrics and/or machine learning algorithms. Job requirements The Ideal Candidate
-
learning algorithms for early damage detection, health indicator extraction, and remaining useful life prediction. The successful candidate will take a leadership role in experimental integration and data