Sort by
Refine Your Search
-
Listed
-
Category
-
Program
-
Employer
- Delft University of Technology (TU Delft)
- European Space Agency
- University of Twente
- Eindhoven University of Technology (TU/e)
- University of Amsterdam (UvA)
- Utrecht University
- Wageningen University & Research
- Eindhoven University of Technology
- Erasmus University Rotterdam
- Radboud University
- Leiden University
- Maastricht University (UM)
- Tilburg University
- University of Twente (UT)
- Vrije Universiteit Amsterdam (VU)
- Zuyd University
- 6 more »
- « less
-
Field
-
our biofeedback algorithms and, after small N assessments, contribute towards setting up a large-scale trial to assess the efficacy of the newly developed methods. For this you will interact extensively
-
of increasing its strength and scope? Then we have the perfect challenge for you! Advancing open SEM research. You will join the Programme Group of Methods and Statistics, at the Department of Child Development
-
for their governing mechanisms? How can we make these model computationally efficient and capable of scaling to large dataset sizes? Scientific challenges for this exciting PhD project include: develop principled
-
through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Do you want to develop human-centred RL
-
Location ESTEC, Noordwijk, Netherlands Our team and mission The Mechatronics and Optics Division provides engineering support for space projects and performs technology developments in the areas
-
technological research and development (R&D) concerning turnkey onboard hardware data handling solutions, with an emphasis on: platform and payload data handling architectures and their building blocks (equipment
-
of electron microscopy, tomography, or related modalities. You have demonstrated experience in developing algorithms or computational methods, for example in image simulation, optimization, or data analysis
-
and democratic participation of citizens. You will focus on developing adaptive learning systems that enhance the transparency and contestability of AI decisions through personalized, multimodal
-
professionals at every stage of their development cross the boundaries of their fields to collaborate in the transfer, development, and application of high-quality, practical knowledge. For our challenging
-
. This includes modelling, data analysis and algorithmic development, as well as experimental validation of models and algorithms. It contributes to the performance assessment of space missions. More specifically