Sort by
Refine Your Search
-
Listed
-
Employer
- Delft University of Technology (TU Delft)
- Wageningen University & Research
- Eindhoven University of Technology (TU/e)
- Leiden University
- University of Amsterdam (UvA)
- Utrecht University
- Maastricht University (UM)
- Erasmus University Rotterdam
- Naturalis
- University of Groningen
- University of Twente (UT)
- Erasmus University Rotterdam (EUR)
- European Space Agency
- Radboud University
- Radboud University Medical Center (Radboudumc)
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Tilburg University
- Universiteit Leiden
- Vrije Universiteit Amsterdam (VU)
- 9 more »
- « less
-
Field
-
topic in specific. Lay emphasis on how your background (PhD research, work experinence, etc) is an excellent fit to the job requirements. Please do not use Large Language Models (like ChatGPT
-
analyses within this large-scale field experiment, working closely with an international consortium of health economists, clinicians and implementation scientists. Join us to help generate the evidence
-
Join the M-WAVE team to develop a forward operator for land data assimilation. Job description Challenge: Understanding the climatic drivers of crop failure, monitoring crop growth and implementing
-
related topic; experience with plant mineral homeostasis and/or tomato research; demonstrated expertise in the analysis of large data-sets; a strong interest in experimental research; an excellent oral and
-
12 Sep 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Electrical engineering Researcher Profile Recognised Researcher (R2
-
collide, condense and evaporate. Guided by the results from the field campaigns, a new Microphysics Informed Large-Eddy-Simulation (MiLES) model will be developed. The tested and verified MiLES will be
-
28 Aug 2026 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Aerospace engineering Researcher Profile Recognised Researcher (R2
-
, physics, applied mathematics, engineering, computer science or related discipline. Strong skills in fluid mechanics and numerical modelling. Experience with large observational data sets of environmental
-
work on fundamental and complex societal issues for a sustainable, healthy and just future. From forest fires to big data, from obesity to malnutrition, from helium to the universe and from genetics
-
Are you passionate about experimental aerodynamics and flow visualization? Apply for a PhD position that aims at transforming flow field measurements into aerodynamic forces by pressure and friction