Sort by
Refine Your Search
-
Listed
-
Employer
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- Utrecht University
- University of Twente
- Radboud University
- University of Amsterdam (UvA)
- Wageningen University & Research
- ;
- Maastricht University (UM)
- University of Twente (UT)
- Vrije Universiteit Amsterdam (VU)
- 1 more »
- « less
-
Field
-
theory, latent change score models) comparing shifts in how children and AI-models learn to reason. Teaching is limited to 5% of the contracted hours, by assisting in courses and supervising (bachelor
-
on correlation-based machine learning. When an agricultural system fails due to compounding climate extremes - like a simultaneous heatwave, drought, and ozone pollution spike - standard models can forecast the
-
coding skills in Python. You are strongly motivated to acquire advanced skills in Python and in the use of high-performance computer systems You have affinity and preferably experience with system dynamics
-
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
-
machine-learning algorithms, and with lightning-fast Maxwell solvers for scattering simulations. You will not only work on the 3-D models in theory; you will also be trained in operating advanced microscopy
-
. 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
-
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
-
training data, when these are available, and also to learn from real-time, potentially non-IID, streaming data; should be able to track the evolution of key features and achieve model plasticity while
-
knowledge of and/or experience with validation of prediction models (regression or supervised machine learning), health technology assessment, decision curve analysis, and/or value-of-information analysis
-
degree in AI, Computing Science, Mathematics, or Data Science. Strong coding, communication and organizational skills. Demonstrable experience with using machine learning packages (e.g., PyTorch