Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Delft University of Technology (TU Delft)
- Utrecht University
- University of Twente
- Eindhoven University of Technology (TU/e)
- University of Amsterdam (UvA)
- University of Twente (UT)
- Vrije Universiteit Amsterdam (VU)
- Maastricht University (UM)
- Wageningen University & Research
- Radboud University
- ;
- Delft University of Technology
- Erasmus University Rotterdam
- KNAW
- Leiden University
- NLR
- Tilburg University
- University Medical Center Utrecht (UMC Utrecht)
- University of Groningen
- 9 more »
- « less
-
Field
-
technologies into existing and new factory layouts, while accounting for material flows, energy use, logistics, and digitalisation. The PhD candidate will develop digital factory models, simulations, and
-
, logistics, and digitalisation. The PhD candidate will develop digital factory models, simulations, and planning tools that support the design and operation of circular AM-enabled factories. Crucially
-
/ Robust) Combinatorial Optimization, Game Theory, and Network Theory, as well as Artificial Intelligence. Potentially, scenarios could be simulated using agent-based, discrete-event, or other techniques
-
AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic
-
mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. In other words: there is plenty of room
-
simulation framework for paired visible-light and X-ray images of fruit and developing methods for fast 3D shape modelling of fruits, correcting X-ray images for object thickness, and estimating physiological
-
traverse boundaries between theory, simulations, and experiments towards understanding and controlling fluid flows. In our team, we strive for a cocreative and stimulating environment where we can develop
-
microscopy techniques. Working closely with a postdoctoral researcher to use your experimental observations as constraints for micromagnetic simulations, systematically assessing how size, shape, and
-
density on a global scale. A global assessment of the factors that steer efficient land use can build upon JRC’s GHSL data and support global assessments of urban growth as simulated by JRC’s CRISP model
-
adopts a transdisciplinary approach to study cooperation, resistance, and other dynamics in neighborhoods, energy hubs, and communities. By integrating simulations, participatory methods, and co-creation