Sort by
Refine Your Search
-
Listed
-
Employer
- Radboud University
- Utrecht University
- University of Amsterdam (UvA)
- Eindhoven University of Technology (TU/e)
- Delft University of Technology (TU Delft)
- Leiden University
- University of Twente
- University of Twente (UT)
- Wageningen University & Research
- European Space Agency
- Nature Careers
- AMOLF
- DIFFER
- Eindhoven University of Technology (TU/e); Published yesterday
- Maastricht University (UM)
- Tilburg University
- Vrije Universiteit Amsterdam (VU)
- 7 more »
- « less
-
Field
-
for collaboration with experimental groups working on physical learning in electronics, mechanics, and living flow networks (Physarum Polycephalum). For more information about our work, see: [1] Stern, Hexner, Rocks
-
large-scale training of scientific foundation models You will collaborate with researchers across machine learning, scientific computing, materials science, and data engineering, and work with leading
-
the forefront of neuroscience and photonics, developing all‑optical tools to study human neurons in a collaborative, interdisciplinary research environment. We are seeking an enthusiastic researcher for a two
-
that strengthens collaboration, reduces time-to-job, and drives innovation for a climate-neutral society. In this position, you will design and optimize learning communities that integrate learning
-
researcher in neurocomputational models of adaptive learning is welcome to join our ERC-funded project. Together we investigate how people make approach–avoidance decisions under threat within a dynamic
-
to foster collaboration between education, industry, and government, ensuring professionals acquire future-proof skills to enable lifelong learning. Your focus is on digital learning environments, including
-
postdoctoral researcher, you will contribute to a collaborative ZonMW open competition project (a team of two postdoctoral fellows embedded in two different institutes) dedicated to dissecting gametocyte
-
in engineering multidisciplinary student teams. The project offers opportunities for collaboration with other ongoing research projects on team learning in CBL, while allowing the postdoc to develop
-
Institute (IvI) and which is a cross-institute collaboration at the Faculty of Science aimed at bridging the gap between modern machine learning developments and their applications to the different areas
-
16 Jan 2026 Job Information Organisation/Company Eindhoven University of Technology (TU/e) Research Field Educational sciences » Learning studies Engineering » Systems engineering Researcher Profile