Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- University of Groningen
- University of Twente (UT)
- European Space Agency
- Utrecht University
- Leiden University
- Maastricht University (UM)
- Wageningen University & Research
- Amsterdam University of Applied Sciences (AUAS/HvA))
- Radboud University
- Radboud University Medical Center (Radboudumc)
- Tilburg University
- Universiteit Leiden
- University of Amsterdam (UvA)
- Vrije Universiteit Amsterdam (VU)
- 6 more »
- « less
-
Field
-
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
-
(adaptive) imaging strategies and reconstruction. The research combines ultrasound physics, signal processing, machine learning, computational imaging, and clinical translation. Beyond your individual
-
completed) in Natural Language Processing or a closely related area. Solid knowledge of machine learning, especially deep learning. Experience in model development and/or fine-tuning. A practical mindset
-
an enthusiastic and highly motivated researcher. You have, or will shortly, acquire a PhD degree in the field of Human-Computer Interaction, Interaction Design or Interaction Technology or equivalent Ideally, you
-
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
-
interactions between individual cells. Where to apply Website https://www.academictransfer.com/en/jobs/362788/post-doc-learning-interactions-… Requirements Specific Requirements PhD Degree in Physics Preferably
-
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
-
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
-
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