Sort by
Refine Your Search
-
Listed
-
Employer
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- University of Twente (UT)
- Utrecht University
- University of Groningen
- Leiden University
- Radboud University
- Radboud University Medical Center (Radboudumc)
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Universiteit Leiden
- University of Amsterdam (UvA)
- University of Twente
- Wageningen University & Research
- 3 more »
- « less
-
Field
-
the evolution and neural mechanisms of harm-aversion. The project asks whether mice use neural and computational mechanisms comparable to humans when avoiding harm to others, and whether disruptions in ACC–mPFC
-
Geography, and Sustainable Development. The Department of Human Geography and Spatial Planning runs the ‘Urban Futures’ research programme, in which faculty from different human geography and spatial planning
-
Challenge: Predict long-term cardiac growth and remodeling in cardiovascular disease. Change: Develop multi-scale mechanobiological models for virtual human twins. Impact: Advance patient-specific
-
; representation learning; analysing sound sequences and vocal interactions; category discovery; Perma computing. The successful candidate will work with Dr. Dan Stowell and his research team. The position is set in
-
Give robots a human-like sense of touch. Develop integrated sensors and mixed-signal readout ICs for flexible electronic skin, enabling fast, robust and scalable tactile intelligence for advanced
-
interest in metal–impurity interactions, interfacial phenomena and its commitment to computation-guided design for green and circular steel production. You will collaborate closely with researchers from
-
infiltration (LCI) in steels and the inhibitory role of silicon aligns with the team's broader interest in metal–impurity interactions, interfacial phenomena and its commitment to computation-guided design for
-
). This interdisciplinary project investigates how AI — specifically large language model (LLM)-based agents — can act as adaptive social agents to support students' collaborative learning in Challenge-Based Learning (CBL
-
robot capabilities, dynamic constraints, contact-rich interactions, perception limitations, and high-level human guidance. A key objective is to bridge high-level task planning with the physical
-
10 Jul 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Computer science » Informatics Computer science » Programming Educational sciences