Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Utrecht University
- University of Amsterdam (UvA)
- Leiden University
- Delft University of Technology (TU Delft)
- Radboud University
- Eindhoven University of Technology (TU/e)
- Wageningen University & Research
- Tilburg University
- University of Twente (UT)
- European Space Agency
- Amsterdam UMC
- Radboud University Medical Center (Radboudumc)
- University of Twente
- Erasmus MC (University Medical Center Rotterdam)
- NIOZ Royal Netherlands Institute for Sea Research
- Nature Careers
- Vrije Universiteit Amsterdam (VU)
- AMOLF
- ARCNL
- DIFFER
- Delft University of Technology (TU Delft); Published yesterday
- Eindhoven University of Technology (TU/e); Published yesterday
- KNAW
- Maastricht University (UM)
- Radboud University Medical Center (Radboudumc); Published 5 Dec ’25
- University Medical Centre Groningen (UMCG)
- University of Amsterdam (UvA); Published yesterday
- 17 more »
- « less
-
Field
-
. You have: A PhD in Computer Science, Machine Learning, Applied Mathematics, Scientific Computing, Data Engineering, or a closely related field. Demonstrated ability to conduct high-quality academic
-
of receiving their PhD. In particular for this position, the following is required: PhD in data science, AI, computer science, machine learning, Earth system science, climate etc., with a thesis subject relevant
-
from the areas of few-shot learning, continual learning and modular deep learning, as well as different LLM alignment frameworks, based on reinforcement learning and direct preference optimisation
-
perception systems, using deep learning and simulation-to-real domain adaptation techniques. You will work with a multidisciplinary team, contributing to fundamental and applied research. Your role will
-
the dispersion of these macroplastic items in these flow fields; comparing the results of the simulations to results from an experimental campaign of floating trackers; collaborating with a postdoc and two PhD
-
skills: Good knowledge of ML/AI based techniques to develop fast surrogates (deep neural networks) and capability to develop own efficient model learning schemes (deep learning techniques, representation
-
Employment 0.8 FTE Gross monthly salary € 4,728 - € 6,433 Required background PhD Organizational unit Faculty of Social Sciences Application deadline 24 March 2026 Apply now A driven postdoctoral
-
: https://rademaker.unige.ch/ The candidate · holds a PhD (or an equivalent degree) in Theoretical Quantum Matter Physics by the starting date; · has excellent spoken and written English
-
Employment 0.8 FTE Gross monthly salary € 4,728 - € 6,433 Required background PhD Organizational unit Faculty of Social Sciences Application deadline 08 March 2026 Apply now Join an ongoing NWO Vici
-
competencies Education You should have completed within the past five years or be close to completing a PhD in a relevant field such as data science, AI, computer science, machine learning, Earth system science