Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Utrecht University
- Delft University of Technology (TU Delft)
- University of Groningen
- University of Twente
- Wageningen University & Research
- Wageningen University and Research Center
- Radboud University
- University of Twente (UT)
- Vrije Universiteit Amsterdam (VU)
- ; Max Planck Institute for Psycholinguistics
- Amsterdam UMC
- CWI
- Eindhoven University of Technology (TU/e)
- Erasmus University Rotterdam
- Leiden University
- Maastricht University (UM)
- Tilburg University
- 7 more »
- « less
-
Field
-
economic impact through simulation modeling. Beyond this unique project, this position offers an exciting opportunity to advance simulation techniques in HTA! Information and application Submit your
-
will develop numerical models to simulate fluid injection-induced fracture and flow behaviour, as well as permeability evolution in fracture systems, utilising fracture networks mapped from geothermal
-
the modelling and prediction of the dynamic interaction between proteins and small-molecule ligands, such as hormones, neurotransmitters, or therapeutic drugs. The computational representation
-
, business school scientists, system modeling and optimization researchers, computer scientists, legal experts and social scientists working on energy topics. Description of the PhD project The project
-
diseases, and how these influence, or are influenced by, labor force participation and income. In addition, you will develop simulation models to predict how different policies could reduce the disease
-
learning techniques and advanced numerical simulation modelling to quantitatively study the electrical characteristics of state-of-the-art perovskite solar cells. The efficiency and stability of perovskite
-
covers model derivation, model reduction, and numerical simulations. In collaboration with the rest of the PI's group (4 PhD's + 1 Postdoc + undergrad students) at the Bernoulli Institute for Mathematics
-
dynamics and performance of various appendage configurations on model scale. Findings from model tests should be ultimately translated to full-scale performance through simulations with the validated
-
interdependencies between inspection items using probabilistic graphical models like Bayesian networks. These models aim to support interactive inspections by prioritizing items dynamically, combining data-driven
-
for durable agriculture. Job description This vacancy is a part of the CropXR Potato program. Computational breeding aims at the construction of prediction models for yield and quality traits that combine