37 machine-learning "https:" "https:" "https:" Postdoctoral research jobs in Netherlands
Sort by
Refine Your Search
-
Employer
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- University of Groningen
- University of Twente (UT)
- European Space Agency
- Leiden University
- Maastricht University (UM)
- Radboud University Medical Center (Radboudumc)
- Utrecht University
- Universiteit Leiden
- University of Amsterdam (UvA)
- Wageningen University & Research
- 2 more »
- « less
-
Field
-
at the intersection of conversational AI, human–computer interaction, multimodal interaction, user modelling, and cultural heritage. As a postdoctoral researcher, you will: Conduct research on dialogic interaction
-
Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Hey machine learning enthusiast with a love for physics and
-
the CLARA AI agent — bridging cutting-edge machine learning methods with empirical insights from the educational arm of the project. A central technical challenge guides this position: How can an LLM-based AI
-
-quality datasets that are structured and annotated for simulation and machine learning. Develop Digital Twins and simulation pipelines for virtual validation and predictive performance assessment. Implement
-
the consortium and cooperation across work packages. In addition to doing research, you will be required to teach at the education programs of IViR, including thesis supervision for the Dutch-language
-
teaching load. Where to apply Website https://www.academictransfer.com/en/jobs/362661/postdoctoral-researchers-in-geo… Requirements Specific Requirements We are looking for outstanding researchers who
-
substantial experience with machine learning techniques. You have experience with the PreFer data challenge. You have experience with working with Dutch register data. You have the ability to identify
-
topic of transport geography.More specifically, you will work on the topic of "inclusive, sustainable, and efficient accessibility: systematically evaluating and learning from 'smart' initiatives." What
-
packaging and e-waste, while Exergy will develop the digital-twin and machine-learning tools that make the process adaptive and scalable. The research effort will be directed towards the selective recovery in
-
, solvent-based recycling process for complex plastic waste streams such as multilayer packaging and e-waste, while Exergy will develop the digital-twin and machine-learning tools that make the process