Sort by
Refine Your Search
-
Employer
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); 3 Oct ’25 published
- Delft University of Technology (TU Delft); yesterday published
- Eindhoven University of Technology (TU/e)
- Eindhoven University of Technology (TU/e); Published yesterday
- Leiden University
- Leiden University; Leiden
- Universiteit van Amsterdam
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); yesterday published
- University of Twente
- Wageningen University & Research
- 2 more »
- « less
-
Field
-
Do you want to be part of an industry-oriented project and work on flexibility estimation from industrial sites? The envisioned research is part of the research program Intelligent Energy Systems
-
and work on flexibility estimation from industrial sites? The envisioned research is part of the research program Intelligent Energy Systems (IES) performed within the Electrical Energy Systems (EES
-
movements during art (exhibitions) experiences and relate those to parameters of lighting design and perception. This project will be supervised by Maarten Wijntjes and Sylvia Pont. PhD candidate / project 13
-
discovery, and computational design. Extending our existing theoretical frameworks in investigating design optimization and nonlinear parameter estimation. Contributing to the teaching and assisting with
-
. Extending our existing theoretical frameworks in investigating design optimization and nonlinear parameter estimation. Contributing to the teaching and assisting with dynamics relevant courses
-
23 Aug 2025 Job Information Organisation/Company Leiden University Research Field Computer science » Informatics Computer science » Programming Engineering » Computer engineering Engineering
-
parameters that have been learned from data. For instance, why does a machine learning model predict that it is unsafe to discharge a certain patient from the intensive care? Or which characteristics make a
-
incomprehensible model parameters that have been learned from data. For instance, why does a machine learning model predict that it is unsafe to discharge a certain patient from the intensive care? Or which
-
? Generative AI and large-language models (LLMs) are about to turn computer-aided engineering into true human–AI co-design. In the new MSCA Doctoral Network GenAIDE we team up with Honda Research Institute
-
have control over our spatiotemporal sampling of observational data locations, we first define the population. Next, we sample population units for (1) design-based estimation of population parameters