Sort by
Refine Your Search
-
Employer
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- University of Amsterdam (UvA)
- Utrecht University
- University of Groningen
- ARCNL
- Leiden University
- Tilburg University
- University Medical Centre Groningen (UMCG)
- University of Twente
- University of Twente (UT)
- 1 more »
- « less
-
Field
-
highly motivated postdoctoral candidate with a background in biogeochemical modelling. You must have successfully completed a PhD programme in Earth Sciences, Environmental Sciences, Biology or a related
-
the pragmatism that is needed to move a project forward. By the time the position starts, you have obtained a PhD degree in Data Sciences, Computer Sciences, Physics, Earth Sciences, Civil Engineering, or a
-
funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Deploy detailed models
-
engineering Engineering » Process engineering Researcher Profile Recognised Researcher (R2) Application Deadline 1 Oct 2026 - 21:59 (UTC) Country Netherlands Type of Contract Temporary Job Status Not Applicable
-
Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Job description The transition towards autonomous and remotely
-
publications, conference presentations, and the supervision of junior researchers. Job requirements PhD in physics, biomedical engineering, electrical engineering, medical physics, or a closely related field
-
Join TU Delft to uncover the biology of cellular robustness in an industrial yeast process and translate your discoveries into innovative genome engineering strategies. Job description You will join
-
into practical design principles for low-debris surfaces and operating windows in advanced EUV source environments. Qualifications You have (or will soon obtain) a PhD in (Applied) Physics, Mechanical Engineering
-
Science, Physics, Mathematics or Computer Science. You have a solid background in computational fluid dynamics (CFD) and be proficient in programming (e.g., Python, Fortran, or C++) and visualization tools
-
: Within this international project, TU Delft will develop a machine learning-based forward operator to enable the assimilation of SAR imagery into the crop growth model. You will: Process SAR imagery over