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
- University of Twente
- Wageningen University & Research
- Maastricht University (UM)
- University of Twente (UT)
- Leiden University
- Radboud University Medical Center (Radboudumc)
- ;
- Amsterdam UMC
- Erasmus University Rotterdam (EUR)
- KNAW
- Tilburg University
- Vrije Universiteit Amsterdam (VU)
- DIFFER
- Delft University of Technology
- NIOZ Royal Netherlands Institute for Sea Research
- NLR
- University Medical Center Utrecht (UMC Utrecht)
- 13 more »
- « less
-
Field
-
Curiosity, resilience, and a strong drive to learn and innovate This position offers a dynamic and supportive research environment with ample opportunities for professional and academic development
-
13 Mar 2026 Job Information Organisation/Company Erasmus University Rotterdam (EUR) Research Field Educational sciences » Education Educational sciences » Learning studies Researcher Profile First
-
. You will combine technical work on machine learning with qualitative analysis of how AI systems are interpreted and used in organisational decision-making. Join the Human-Centred Computing group
-
their learning and develop reading comprehension skills? Are you eager to combine learning sciences research with classroom innovation? Then this PhD position may be of interest to you. Job description The Erasmus
-
; knowledge of or willingness to learn Dutch is a plus. You will receive close supervision, tailored training, and ample opportunities for personal and professional development within this PhD trajectory
-
to 10% of your working time. Would you like to learn more about what it’s like to pursue a PhD at Radboud University? Visit the page about working as a PhD candidate . At Radboud University, I can fully
-
Sciences, and Health Sciences. Through our bachelor’s and master’s degrees, Professional Learning & Development programmes, and interdisciplinary research themes – including Emerging Technologies & Societal
-
You will join the “Professional Learning & Technology” (PLT) section of the Faculty of Behavioural, Management & Social Sciences. The PLT section specializes in research on professional learning in and
-
spectroscopies, as well as magnetic force- and scanning electron microscopy. You will collaborate closely with your theoretical partner in Utrecht, learning from theory to improve optical strategies and design
-
systems increasingly provide personalized recommendations in domains such as nutrition and lifestyle. However, many recommender and prediction systems rely heavily on opaque machine learning techniques