Sort by
Refine Your Search
-
Listed
-
Employer
- Delft University of Technology (TU Delft); today published
- Maastricht University (UM)
- Delft University of Technology (TU Delft)
- Maastricht University (UM); Maastricht
- University of Amsterdam (UvA)
- Amsterdam UMC
- Amsterdam UMC; Amsterdam
- Delft University of Technology (TU Delft); Delft
- Delft University of Technology (TU Delft); yesterday published
- Erasmus University Rotterdam
- Erasmus University Rotterdam (EUR)
- Maastricht University (UM); 27 Sep ’25 published
- Radboud University
- The Open Universiteit (OU)
- The Open Universiteit (OU); today published
- Tilburg University
- Tilburg University; today published
- University of Amsterdam (UvA); Amsterdam
- University of Groningen
- University of Twente
- Utrecht University
- Wageningen University and Research Center
- 12 more »
- « less
-
Field
-
, which leads to shortcut learning and hallucination at test-time. This PhD project focuses on a new generation of perceptual foundation models by contributing advanced perceptual pre-training and fine
-
field. Graduation from a two-year Master’s programme (120 ECTS) is an advantage. Research skills – Knowledge of econometric methods, statistical software (e.g., Stata or R), or experience with economic
-
for this position) Experience with programming languages (e.g., Python, MATLAB) and simulation software Excellent academic a dynamic, creative and pioneering professional attitude with a willingness to
-
working in a collaborative team environment across disciplines and cultures. Experience with software for data analytics is strongly preferred. Comfortable using digital platforms (e.g. Teams, Zoom, shared
-
methods are employed to understand, predict, and change human behaviour. M-BIC tests and develops new theories of normal and abnormal neural information processing, with special attention to brain
-
collaborative team environment across disciplines and cultures. Experience with software for data analytics is strongly preferred. Comfortable using digital platforms (e.g. Teams, Zoom, shared folders
-
new nationwide AI system can be predicted using generated data sets of different sizes and measuring the environmental impact. This impact can be measured and calculated by our Software Energy Lab
-
of dissolved (DOM) and particulate organic matter (POM) by seagrasses and to what degree this contributes to carbon burial in these systems. This project will examine the role of microphytobenthos (MPB) in
-
amplifiers, ultra-low power analog to digital converters, software-defined radio, mixer-first receivers, N-path filters and sub-sampling phase locked loops. The group is a world leader and initiator of many