Sort by
Refine Your Search
-
Category
-
Employer
- Radboud University
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology
- Eindhoven University of Technology (TU/e)
- Leiden University
- Delft University of Technology
- Maastricht University (UM)
- Erasmus University Rotterdam (EUR)
- Radboud University Medical Center (Radboudumc)
- University of Amsterdam
- University of Amsterdam (UvA)
- Wageningen University & Research
- Wageningen University and Research Center
- 3 more »
- « less
-
Field
-
Job related to staff position within a Research Infrastructure? No Offer Description The Applied Probability research group within the Delft Institute of Applied Mathematics at TU Delft (see https
-
track record proven by relevant experience, publications, etc. The applicant is expected to have: MSc degree in Computer Science, Artificial Intelligence, Electrical Engineering, Applied Mathematics
-
, you will also work on analysing the theoretical properties of these algorithms using the mathematical framework of randomised complexity theory. You will be part of both the Probabilistic Graphical
-
consistency models. These models rest on a joint foundation of deep learning architectural research and mathematical theory. They therefore present an exciting research area for theoretically minded individuals
-
? Then come join us as our next PhD-candidate in the Uncertainty in AI group! Irène Curie Fellowship No Department(s) Mathematics and Computer Science Reference number V32.7482 Job description The
-
combination of mechanism-based mathematical models to describe drug concentrations and effects, and statistical models such as nonlinear mixed effect models to quantify and predict variability between patients
-
probabilities Robust stochastic processes Tractable models and decision-making Online/continual learning with evolving data Requirements Specific Requirements Master's degree in Mathematics, Statistics
-
learning architectural research and mathematical theory. They therefore present an exciting research area for theoretically minded individuals who are also interested in the practice and applicability
-
composite materials and structures. Good mathematical skills and experience in numercial methods for structures and/or fluids. Good programming skills (e.g. Matlab, Python). You have obtained an MSc
-
come from a range of backgrounds including, but not limited to, Physics, Atmospheric Science and Geoscience, Computational Science and Applied Mathematics. You should have practical programming