Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Groningen
- Wageningen University and Research Center
- Leiden University
- Utrecht University
- Erasmus University Rotterdam
- University of Twente
- CWI
- Delft University of Technology (TU Delft)
- KNAW
- Universiteit van Amsterdam
- University of Amsterdam (UvA)
- Eindhoven University of Technology (TU/e)
- Radboud University
- University of Twente (UT)
- VU Amsterdam
- 5 more »
- « less
-
Field
-
to coordinate and conduct asset management and maintenance activities across infrastructure networks in the Netherlands. Together with our research partners from Next Generation Infrastructure network, the PhD
-
qualitative research, systematic network analysis, and the design of educational and communication models that empower professionals to implement new approaches in their fields. Your job The Netherlands is
-
expand your (social) network in Delft. A Dual Career Programme is available, to support your accompanying partner with their job search in the Netherlands. Additional information If you would like more
-
for medical imaging, tailored for deep learning. The high-level goal of the project is simple: to use anatomical knowledge and existing knowledge as training data for deep neural networks (instead of manual
-
to learning opportunities, local research networks, and access and facilities. Candidate profile: Applications are invited from outstanding graduates who meet the following criteria: BSc, including synthetic
-
Leiden, which will maximize access to learning opportunities, local research networks, and access and facilities. Candidate profile: Applications are invited from outstanding graduates who meet the
-
gradient estimation of probabilistic programs, implicit function differentiation, compositional Bayesian inference techniques); giving mathematical proofs of their correctness and efficiency; building state
-
inductive biases, we aim to identify key mechanisms that drive rapid learning in the visual system. The goal is to create a robust mechanistic neural network model of the visual system that not only mimics
-
infrastructure data, and building visual tools to support the interpretation and communication of results. The work has a strong foundation in systems and network research, with an emphasis on DNS protocol
-
has joined forces with other top universities and networks worldwide to become a truly global centre of knowledge. Within the Faculty of Science and Engineering, a 4-year PhD position is available