Sort by
Refine Your Search
-
Category
-
Employer
- Delft University of Technology (TU Delft)
- University of Amsterdam (UvA)
- Eindhoven University of Technology (TU/e)
- Radboud University
- Utrecht University
- Vrije Universiteit Amsterdam (VU)
- Wageningen University & Research
- Maastricht University (UM)
- Amsterdam UMC
- University of Groningen
- University of Twente
- Radboud University Medical Center (Radboudumc)
- University of Twente (UT)
- Leiden University
- University Medical Center Utrecht (UMC Utrecht)
- Centrum Wiskunde en Informatica (CWI)
- Erasmus MC (University Medical Center Rotterdam)
- Hotelschool The Hague
- KNAW
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Tilburg University
- AMOLF
- ARCNL
- Amsterdam UMC, location VUmc
- Erasmus University Rotterdam
- Fryske Akademy
- HFML-FELIX
- Naturalis
- Sanquin Blood Supply Foundation (Sanquin)
- TU Delft
- The Open Universiteit (OU)
- University Medical Center Groningen
- University Medical Centre Groningen (UMCG)
- 23 more »
- « less
-
Field
-
Are you interested in exploring how multi-agent aerial manipulation can contribute to construction and working at the intersection of robotics and machine learning? Job description Advancements in
-
adaptive resource allocation, AI-driven network orchestration, dynamic beam steering, joint communication and sensing, and cross-layer optimization. Machine learning techniques will be investigated
-
mental models, cognitive maps, and cognitive graphs. These approaches have provided important insights into how people perceive locations, learn route layouts, and understand spatial relations. However
-
analyses with an interest in epigenetics and adaptation in wild plant species. You are resilient, eager to learn, and enjoy finding creative solutions in a dynamic interdisciplinary and international
-
thinking deeply about the results and modelling them. Applicants are not expected to bring expertise in all listed areas; the required methods will be learned during the project. This is a collaborative
-
problems, numerical mathematics, optimisation, machine learning and imaging physics, with applications ranging from medical and industrial imaging to geophysics. For more information, please visit
-
23 Jul 2026 Job Information Organisation/Company University of Twente (UT) Research Field Educational sciences » Education Educational sciences » Learning studies Researcher Profile First Stage
-
models. We further propose to develop scalable structure learning methods for these new models, including latent variable identification, and to demonstrate their effectiveness on real data. For this, we
-
distribution, which lead to an extremal analogue of Gaussian structural causal models. We further propose to develop scalable structure learning methods for these new models, including latent variable
-
to support your PhD trajectory. Your supervisors will be Dr Catrien Notermans, Dr Sonja Marzi, Dr Elke Linders. Would you like to learn more about what it’s like to pursue a PhD at Radboud University? Visit