Sort by
Refine Your Search
-
Category
-
Program
-
Employer
- Eindhoven University of Technology
- Utrecht University
- AMOLF
- Delft University of Technology
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- NHL Stenden University University of Applied Sciences
- Radboud University Medical Center (Radboudumc)
- University of Amsterdam
- University of Groningen
-
Field
-
The Learning Machines group seeks motivated PhD students to join our team working on learning in physical systems. What are learning machines? Imagine your favorite artificial intelligence machine
-
Where to apply Website https://www.academictransfer.com/en/340637/phd-machine-learning-meets-choice-mo… Contact City Groningen Website http://www.rug.nl/ Street Broerstraat 5 Postal Code 9712 CP STATUS
-
team that combines engineering and the humanities? Then apply for the PhD position on Explainable AI in Machine Vision for autonomous driving! Autonomous driving is a key application of artificial
-
to the literature screening challenge using machine learning models, like active learning, and, very recently, large language models (LLMs). However, many of these AI-driven solutions emerge from tech companies
-
The rapidly evolving field of AI offers promising solutions to the literature screening challenge using machine learning models, like active learning, and, very recently, large language models (LLMs). However
-
for this development, but will work in a team of other PhD candidates, postdocs and technicians that will assist. Finally, the full 0.7-MV prototype will be developed along similar lines and with all lessons learned
-
into everyday gadgets like smartphones and IoT devices? This PhD position offers the chance to not only push technological boundaries but also to be part of pioneering research that integrates deep learning
-
following aspects will help you stand out: Knowledge of data-driven control algorithms, biomechanical modelling, system identification, machine learning, control theory. Prior experimental experience on human
-
academic knowledge. These facilities, combined with our knowledge of deep learning and computer vision, make our research group a vibrant environment full of opportunities. We are looking for a content
-
-driven control algorithms, biomechanical modelling, system identification, machine learning, control theory. Prior experimental experience on human body dynamics and motion comfort. A strong academit track