Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Delft University of Technology (TU Delft)
- Utrecht University
- University of Amsterdam (UvA)
- Erasmus University Rotterdam
- Radboud University
- Maastricht University (UM)
- Wageningen University & Research
- Eindhoven University of Technology (TU/e)
- KNAW
- Leiden University
- ;
- Amsterdam UMC
- Erasmus University Rotterdam (EUR)
- University of Twente
- Delft University of Technology
- NLR
- Radboud University Medical Center (Radboudumc)
- RiboPro B.V.
- Tilburg University
- Vrije Universiteit Amsterdam (VU)
- 10 more »
- « less
-
Field
-
leave; a fixed year-end bonus of 8,3%; excellent pension scheme. In addition to these first-rate employee benefits, you will of course receive a good salary. We offer, depending on your experience, a
-
the latest). You will be based at the Economics Department, located at the Erasmus School of Economics. This position is for 1 FTE. The salary is dependent on your experience and knowledge and starts with
-
to constructive feedback; Good communication skills for spoken and written English. Knowledge of Dutch is desirable but not mandatory; Strong background in programming, using MATLAB and/or Python or other relevant
-
3 Apr 2026 Job Information Organisation/Company Wageningen University & Research Research Field Biological sciences » Nutritional sciences Chemistry » Analytical chemistry Chemistry » Biochemistry
-
2 Apr 2026 Job Information Organisation/Company University of Amsterdam (UvA) Research Field Neurosciences » Neurobiology Neurosciences » Neurophysiology Researcher Profile Recognised Researcher (R2
-
strong focus on personal and professional development, including training opportunities A good pension scheme via ABP, company fitness, and access to university sports facilities A close-knit
-
, gesture and sign) shape language and its use in diverse languages and how language is related to cognition and culture, and shaped by evolution. We are part of the Max Planck Society , an independent non
-
for preventing or mitigating rebound effects, this requires novel perspectives on the role of HCI in shaping quality of life. In this project we aim to do this by combining systemic knowledge on rebound effects
-
to be a growing field, and there is substantial room to contribute. We are interested in developing techniques that can improve on current AI performance, model human cognition, and in using neurosymbolic
-
the opportunity to work in a highly collaborative and interdisciplinary environment where fundamental research is closely linked to application. You will interact with leading experts in materials science