Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- Utrecht University
- University of Groningen
- Wageningen University & Research
- University of Amsterdam (UvA)
- Leiden University
- University of Twente (UT)
- European Space Agency
- Maastricht University (UM)
- University of Twente
- Vrije Universiteit Amsterdam (VU)
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Erasmus University Rotterdam
- Radboud University
- Radboud University Medical Center (Radboudumc)
- University Medical Center Utrecht (UMC Utrecht)
- Naturalis
- University Medical Centre Groningen (UMCG)
- University of Utrecht
- ARCNL
- Erasmus University Rotterdam (EUR)
- KNAW
- NIOZ Royal Netherlands Institute for Sea Research
- Princess Máxima Center for Pediatric Oncology
- Tilburg University
- Universiteit Leiden
- 17 more »
- « less
-
Field
- Computer Science
- Engineering
- Biology
- Medical Sciences
- Economics
- Chemistry
- Earth Sciences
- Materials Science
- Science
- Mathematics
- Psychology
- Humanities
- Philosophy
- Social Sciences
- Business
- Physics
- Sports and Recreation
- Arts and Literature
- Environment
- Design
- Electrical Engineering
- Law
- Statistics
- 13 more »
- « less
-
: 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
-
architectural design, urban planning, building technology, social sciences, process management, and geo-information science. The faculty works closely with other faculties, universities, private parties, and the
-
design, urban planning, building technology, social sciences, process management, and geo-information science. The faculty works closely with other faculties, universities, private parties, and the public
-
capture the full complexity of processes in midlatitude stratocumulus. These will range from the kilometre scale down to micrometre scale at which turbulence influences the rate at which cloud droplets
-
for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using
-
measurement techniques and PIV. Familiarity with optics, lasers, image processing and statistical data analysis. Familiarity with flow modelling techniques (CFD) or machine learning for fluid flows. Aptitude
-
focus on how atmospheric and oceanic conditions affect turbine performance and power production, significantly less is known about how large offshore wind farms modify atmospheric and oceanic processes
-
procedure, please contact Dr. Jian Guo, via [email protected] . Application procedure Are you interested in this vacancy? Please apply no later than 15 October 2026 via the application button and upload
-
are working to improve the built environment with the help of a broad set of disciplines, including architectural design, urban planning, building technology, social sciences, process management, and geo
-
analytical sample processing (lab work); A theoretical background in marine environmental physiology, biogeochemistry, and ecology; Willingness to experiment with new data collections; Excellent communication