Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- Leiden University
- University of Amsterdam (UvA)
- Amsterdam UMC
- European Space Agency
- KNAW
- Radboud University Medical Center (Radboudumc)
- University of Twente (UT)
- Utrecht University
- Vrije Universiteit Amsterdam (VU)
- Wageningen University & Research
- 2 more »
- « less
-
Field
-
). 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
-
to science, engineering and society. You will focus on optimization-based, data-driven and partially model-based control methods. You will have access to a strong research network and a broad range of
-
software developers to integrate data‑driven models with mechanistic or physics‑based models and domain expertise; showing thought leadership on applying data & AI-solutions in the food & biobased domain
-
. The research will also investigate how autonomous vessels affect collaboration and dependencies among stakeholders. Using agent-based modelling and scenario analyses, the researcher will evaluate alternative
-
). Moving away from conventional studies on Muslims in Europe, as foreigners and immigrants, this project considers Muslims as Europeans and agents of their own belonging to the EU. The project has four main
-
modelling, agentic AI, uncertainty estimation), and an interest in clinically-grounded oncology research. We particularly encourage applications from individuals across all groups traditionally
-
The current generation of generative AI systems is still based on transformer-based Large Language Models, but they go far beyond language modelling in both complexity and capabilities. AI systems
-
Bring physics into world models — and make embodied agents fast, reliable and ready for the real world! Join us! World models are controllable, physics- and mechanism-grounded simulators of reality
-
Processes (CLARA). 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
-
conversational AI, dialogue systems, human–agent interaction, adaptive systems, user modelling, multimodal interaction, or a related area; Experience with empirical research, preferably including user studies