Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Delft University of Technology (TU Delft)
- Utrecht University
- Eindhoven University of Technology (TU/e)
- University of Twente
- Wageningen University & Research
- University of Amsterdam (UvA)
- Vrije Universiteit Amsterdam (VU)
- University of Twente (UT)
- Erasmus University Rotterdam (EUR)
- Radboud University
- Erasmus University Rotterdam
- Maastricht University (UM)
- KNAW
- Tilburg University
- University Medical Centre Groningen (UMCG)
- Wetsus - European centre of excellence for sustainable water technology
- AMOLF
- Delft University of Technology
- Eindhoven University of Technology
- Erasmus MC (University Medical Center Rotterdam)
- Evidencio
- HFML-FELIX
- Leiden University
- NIOZ Royal Netherlands Institute for Sea Research
- NLR
- RiboPro B.V.
- University of Groningen
- 17 more »
- « less
-
Field
-
@wur.nl . Ready to apply? You can apply directly using the apply button on the vacancy page on our website which will allow us to process your personal information with your approval. Only applications
-
on your career at TU/e! Selection process We invite you to submit a complete application by using the apply button. The application should include a: Cover letter in which you describe your motivation and
-
Schools Admission Requirements . Please note: You can apply online. We will not process applications sent by email and/or post. As part of knowledge security, TU Delft conducts a risk assessment during the
-
PhD position: Global soil mapping with process-informed machine learning Faculty: Faculty of Geosciences Department: Department of Physical Geography Hours per week: 36 to 40 Application deadline
-
(the 30% facility) for international candidates. Selection process We invite you to submit a complete application by using the apply button. The application should include a: Cover letter in which you
-
3 Apr 2026 Job Information Organisation/Company Utrecht University Research Field Computer science » Cybernetics Computer science » Programming Engineering » Computer engineering Engineering
-
Engineering, Chemical Engineering, Applied Physics, or a related field. A strong foundation in (multiphase) fluid dynamics. Proven experience with experimental work and a drive to explore and improve state
-
start between March and September 2026. Your profile Master’s degree in (Building) Acoustics, Physics, Aerospace engineering or an equivalent study; Collaborative and self-directed, and receptive
-
communicate your findings through manuscripts and presentations, mentor BSc and MSc students, and contribute to teaching activities and academic outreach. Where to apply Website https://www.academictransfer.com
-
May 2026 Apply now Are algorithms neutral tools, or do they actively shape the world they model? In this PhD, you will bridge the gap between building and critically studying Human-Centred AI systems