Sort by
Refine Your Search
-
Category
-
Employer
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- University of Twente (UT)
- Utrecht University
- University of Amsterdam (UvA)
- Amsterdam UMC
- Leiden University
- KNAW
- Radboud University
- ARCNL
- University of Twente
- Maastricht University (UM)
- Radboud University Medical Center (Radboudumc)
- Vrije Universiteit Amsterdam (VU)
- Wageningen University & Research
- AMOLF
- Naturalis
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Sanquin Blood Supply Foundation (Sanquin)
- The Open Universiteit (OU)
- University Medical Center Utrecht (UMC Utrecht)
- University of Groningen
- 12 more »
- « less
-
Field
-
motivated to translate fundamental flow and erosion physics into practically relevant scales through two-phase flow modelling. You are well organised, manage your time effectively and take initiative in a
-
to the deep ocean. These canyons are the conduits for transport of land-derived materials to the ocean floor in avalanche-like events called turbidity currents. Turbidity currents transport enormous amounts
-
PhD position on Modelling of turbidity current fluxes in submarine canyons Faculty: Faculty of Geosciences Department: Department of Earth Sciences Hours per week: 36 to 40 Application deadline
-
technologies based on a digital twin. The digital twin will combine information from the physical structure with models and monitoring data to assess its current structural state and predict its remaining
-
models and monitoring data to assess its current structural state and predict its remaining lifetime. This will enable the condition of welded structures to be monitored throughout their service life
-
pharmacokinetic models and signal analysis methods that turn nanobubble transport into a diagnostic biomarker. Information Prostate cancer is the most common cancer among men in the Netherlands, and its diagnosis
-
, the effectiveness of Helix—and other advanced wake-mixing strategies—strongly depends on the accuracy of the wind farm models used to design and evaluate these control strategies. Improving the predictive capability
-
identifying real households or companies. But energy data is not like images or text: it consists of time series living on a physical network, governed by power-flow equations. Off-the-shelf generative models
-
. To address this challenge, the project aims to develop structural health monitoring technologies based on a digital twin. The digital twin will combine information from the physical structure with models and
-
; develop or support modelling approaches that link experimental observations to predictive descriptions of the process; investigate the influence of operating conditions, gas composition, flow rate, pressure