Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Eindhoven University of Technology (TU/e)
- Utrecht University
- Delft University of Technology (TU Delft)
- Radboud University
- Wageningen University & Research
- Erasmus University Rotterdam
- Maastricht University (UM)
- University of Amsterdam (UvA)
- University of Twente (UT)
- University of Twente
- Vrije Universiteit Amsterdam (VU)
- ;
- Amsterdam UMC
- Erasmus University Rotterdam (EUR)
- Leiden University
- Radboud University Medical Center (Radboudumc)
- DIFFER
- NIOZ Royal Netherlands Institute for Sea Research
- NLR
- Tilburg University
- University Medical Center Utrecht (UMC Utrecht)
- 11 more »
- « less
-
Field
-
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
-
machine learning libraries. Familiarity with collaborative coding environments (e.g., Git) and working on high-performance computing (HPC) clusters is an advantage. Good scientific writing and communication
-
participation of citizens. You will focus on developing adaptive learning systems that enhance the transparency and contestability of AI decisions through personalized, multimodal explanations. Your job AI is
-
-physical systems secure and resilient in the presence of uncertainty and cyber-physical attacks? Then you may be our next PhD candidate in resilient and learning-based control of cyber-physical systems
-
spectroscopies, as well as magnetic force- and scanning electron microscopy. You will collaborate closely with your theoretical partner in Utrecht, learning from theory to improve optical strategies and design
-
communities concerned? This research involves close collaboration with social partners such as the HERStory Art Foundation (Farida Nabibaks), Theater Thalia, and NAKS. As a PhD candidate, you will conduct
-
. You will combine technical work on machine learning with qualitative analysis of how AI systems are interpreted and used in organisational decision-making. Join the Human-Centred Computing group
-
psychology research; Motivation to collaborate with researchers and clinical psychologists, with the ability to work independently and accurately; Dutch B1 proficiency, or a commitment to learn in the first
-
analyses (transcriptomics) and/or functional tests (cellular location, protein folding, enzyme activity, etc.). The work will involve close collaboration between clinicians, bioinformaticians, and molecular
-
systems increasingly provide personalized recommendations in domains such as nutrition and lifestyle. However, many recommender and prediction systems rely heavily on opaque machine learning techniques