Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Eindhoven University of Technology (TU/e)
- Delft University of Technology (TU Delft)
- Utrecht University
- University of Amsterdam (UvA)
- Radboud University
- Erasmus University Rotterdam
- Wageningen University & Research
- Maastricht University (UM)
- University of Twente
- Leiden University
- University of Twente (UT)
- Vrije Universiteit Amsterdam (VU)
- ;
- Amsterdam UMC
- Erasmus University Rotterdam (EUR)
- KNAW
- Radboud University Medical Center (Radboudumc)
- Tilburg University
- DIFFER
- Delft University of Technology
- NIOZ Royal Netherlands Institute for Sea Research
- NLR
- University Medical Center Utrecht (UMC Utrecht)
- 13 more »
- « less
-
Field
-
early learning processes in the brain. The PhD candidate will work closely with the PI and a postdoctoral researcher across multiple studies within the project. While the primary focus of the PhD is on
-
interested in using AI to unravel the mysteries of the brain? Do you want to perform cutting-edge NeuroAI research and leverage deep learning to understand human vision? Then check out the vacancy below and
-
. You enjoy working independently, are willing to take responsibility, and feel at home in a multidisciplinary environment. You are not afraid to dive deep into the subject matter and are eager to share
-
-of-information methods to assess and improve the reliability of clinical prediction models and AI. Your colleagues: A VIDI project team with 2 PhD students and 1 postdoctoral researcher, supervised by Dr. Laure
-
cardiovascular applications, using integrated computational and experimental methods. The group focuses on developing a deep understanding of how mechanical stimulation regulates growth and remodeling, with
-
at Radboud University in Nijmegen, but you will also be part of a larger research team of other PhD candidates, postdoctoral researchers and senior researchers from multiple Dutch research universities
-
to stay or move London School of Economics, London, UK Beth Lloyd (Leiden University) Causal contributions of (zero) prediction-error signals to learning and decision-making using transcranial ultrasound
-
skills (Python) and knowledge of deep-learning frameworks (PyTorch) are expected. A certain affinity towards turning complex concepts into real-world practice is desired. The successful candidate is
-
MERLN Institute at Maastricht University. What if you could teach a biomaterial to heal bone by delivering the molecular instructions directly to cells? This PhD project explores exactly that question
-
Deep Learning (CIDL), part of the Leiden Institute of Advanced Computer Science (LIACS). As a team, we develop cutting-edge techniques for advanced computational imaging systems, combining expertise from