Sort by
Refine Your Search
-
Listed
-
Employer
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- University of Twente
- Eindhoven University of Technology (TU/e)
- European Space Agency
- Tilburg University
- University of Twente (UT)
- University of Twente (UT); Enschede
- Utrecht University
- Wageningen University & Research
-
Field
-
You will develop and validate advanced AI models that integrate medical imaging, multi-modal clinical and omics data, and explainable AI (XAI) for the prediction of hepatocellular carcinoma (HCC
-
17 Sep 2025 Job Information Organisation/Company University of Twente (UT) Research Field Engineering » Biomedical engineering Medical sciences » Medicine Researcher Profile Recognised Researcher
-
learning models for real-time image and video analysis (e.g., segmentation, object tracking, reinforcement learning), with applications to medical imaging and robotic systems. In this role, you will
-
11 Sep 2025 Job Information Organisation/Company Delft University of Technology (TU Delft) Research Field Engineering » Chemical engineering Engineering » Materials engineering Researcher Profile
-
: Deep learning Medical image computing (preferably x-ray imaging) Computationally efficient deep learning Deep learning model generalisation techniques Translating deep learning models into clinical
-
. Change. Impact! Faculty Mechanical Engineering From chip to ship. From machine to human being. From idea to solution. Driven by a deep-rooted desire to understand our environment and discover its
-
energy storage, community energy models, and data management. The role focuses on Dutch energy law, frameworks for circular economy, localised energy governance, renewable energy and data-driven markets
-
Engineering, Materials Science, Physics, or a related field. Has experience with Discrete Element Method in combination with AI tools relevant to the field Has developed advanced models for segregation in blast
-
can focus on learning for planning, risk-aware motion planning under uncertainty, learning of interaction models, multi-robot learning, multi-modal prediction models, or other related topics
-
conducting lifetime modeling, developing advanced condition monitoring techniques, and applying data-driven analytics for lifetime prediction. You will play a central role in integrating experimental insights