Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- Delft University of Technology (TU Delft)
- European Space Agency
- Delft University of Technology (TU Delft); Delft
- University of Groningen
- Delft University of Technology (TU Delft); yesterday published
- Eindhoven University of Technology (TU/e)
- Maastricht University (UM)
- Maastricht University (UM); Maastricht
- University of Amsterdam (UvA)
- University of Twente
- University of Twente (UT)
- Delft University of Technology (TU Delft); Published 11 Nov ’25
- Eindhoven University of Technology (TU/e); Eindhoven
- Eindhoven University of Technology (TU/e); today published
- Leiden University
- The Netherlands Cancer Institute
- The Netherlands Cancer Institute; Amsterdam
- University Medical Center Utrecht (UMC Utrecht)
- University of Amsterdam (UvA); Amsterdam
- University of Amsterdam (UvA); Published 21 Nov ’25
- University of Amsterdam (UvA); Published today
- University of Amsterdam (UvA); today published
- University of Groningen; Groningen
- Vrije Universiteit Amsterdam (VU)
- Wageningen University & Research
- 15 more »
- « less
-
Field
-
on wind turbines and ships. This involves advanced computer vision, dedicated lighting systems, optical communication, and robust control and guidance algorithms. You will work on: Design and implement
-
deep learning algorithms. We welcome applications from individuals with experience in: Experience developing deep learning models for real-time image/video segmentation, object tracking, reinforcement
-
algorithms that maximize the information extracted from images and delivered to the robot. To be successful in this role, we are looking for candidates to have the following skills and experience. We welcome
-
learning algorithms for early damage detection, health indicator extraction, and remaining useful life prediction. The successful candidate will take a leadership role in experimental integration and data
-
-guided medical applications, with a focus on advanced robotics. You will work directly with clinical data to design robust, efficient deep learning algorithms that maximize the information extracted from
-
algorithms. We welcome applications from individuals with experience in: Experience developing deep learning models for real-time image/video segmentation, object tracking, reinforcement learning. Deep
-
new globally accessible infrastructure and new algorithms for multimodal mining of biosynthetic diversity, as well as novel lead compounds that can be taken up by consortium partners to attain concrete
-
work with Dr. Anna Dawid and her research team. The position is set in the exciting, friendly, and interdisciplinary environment of the aQa (Applied Quantum Algorithms) group, which is a team of faculty
-
mathematical methods, algorithms, and applications are required. Simulators are a recognized method for architectural design explorations and the implementation of software development platforms. The goal
-
applications in the media change journalism, the public sphere, civic engagement and economic competition. We will develop and test new AI-applications to help solve problems such as disinformation, algorithmic