Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- Utrecht University
- Maastricht University (UM)
- University of Amsterdam (UvA)
- Leiden University
- University of Groningen
- Tilburg University
- University of Twente (UT)
- Wageningen University & Research
- ARCNL
- Centrum Wiskunde en Informatica (CWI)
- The Open Universiteit (OU)
- University of Twente
- 4 more »
- « less
-
Field
-
-resolved simulations. In case a fluidized bed is chosen, a traditional Eulerian Two-Fluid model (TFM) will be compared with a novel Lagrangian Continuous Particle Model (CPM). Initially, engineering
-
29 Aug 2026 Job Information Organisation/Company University of Amsterdam (UvA) Research Field Computer science » Programming Engineering » Civil engineering Engineering » Water resources engineering
-
Are you interested in AI applications in flood risk modelling, to answer questions that no existing dataset can address? Are you motivated by the challenge of generating credible extreme flood
-
A PhD position is available in the Advanced Production Engineering (APE) research group at the Engineering and Technology institute Groningen (ENTEG), Faculty of Science and Engineering. In
-
Are you fascinated by scientific and technological innovations in mechano-driven cartilage tissue engineering? Are you driven to develop novel in silico frameworks that deepen mechanistic
-
Mechanical engineering, Chemical engineering, Applied physics, or related field is required. Knowledge and proven experience with performing measurements and engineering reactor modeling and/or CFD. A critical
-
plant phenotyping, microbiome profiling, predictive modelling and targeted experimental validation to identify the microbial factors that make plants more resilient to disease. Your job You will join the
-
collaborate with researchers specialising in materials science, photocatalysis, modelling, optical engineering, reactor development, sustainability assessment and industrial innovation. This international
-
are optimized based on plant performance and energy price fluctuations. The learned models and resulting data-driven control approaches will be designed to be more easily transferable between different
-
image data. The research explores how AI-driven analysis can move beyond manual reverse-engineering workflows by automating feature extraction and structural interpretation while remaining robust to noise