Sort by
Refine Your Search
-
Listed
-
Employer
- Delft University of Technology (TU Delft)
- Utrecht University
- University of Amsterdam (UvA)
- Erasmus University Rotterdam
- Eindhoven University of Technology (TU/e)
- Amsterdam UMC
- Delft University of Technology
- KNAW
- RiboPro B.V.
- Wageningen University & Research
- Wetsus - European centre of excellence for sustainable water technology
- 1 more »
- « less
-
Field
-
learning algorithms. Personalizing user interactions by building models that adapt explanations to specific knowledge levels and interests of users, so that user modelling and formal reasoning transform
-
explainable AI (XAI) methods with user-centred interaction design, combine machine learning with alternative AI methodologies (e.g., rule-based reasoning, knowledge graphs, hybrid approaches where relevant
-
. Personalizing user interactions by building models that adapt explanations to specific knowledge levels and interests of users, so that user modelling and formal reasoning transform opaque decision-making
-
this specific structured data. How can we perform inference tasks to learn hidden patterns, like community structure or hidden hierarchies? How can we incorporate domain knowledge to design interpretable models
-
broad Bachelor's and specialist Master's programmes with a strong research component. Our scientists conduct ground-breaking fundamental and applied research in the fields of Life and Health Science
-
Passports (DPP) for compliance monitoring for steel circularity and the green steel transition. Specific aspects will be business-government partnerships. Many businesses introduce for business reasons and
-
perceptual reasoning, can cause a drop in IQ and result in lower academic achievement in general. Moreover, a link with mental health problems has been observed too. How exactly these associations are causally
-
of AI by integrating causal reasoning? The Causality team in the AMLab group at the University of Amsterdam is looking for 2 PhD students to work on this topic in the NWO VIDI sponsored project CANES
-
approaches, can easily solve -- particularly involving abstract and flexible reasoning. There is therefore a need to integrate symbolic and neural approaches, firstly to potentially improve the performance
-
, we meet regularly, share ideas and knowledge, and you will receive the support you need to evolve as a scientist. Job requirements In order to be successful, you bring: MSC in Computer Science, Physics