Sort by
Refine Your Search
-
Listed
-
Employer
- Delft University of Technology (TU Delft)
- Wageningen University & Research
- Erasmus University Rotterdam
- Wageningen University and Research Center
- Delft University of Technology (TU Delft); 17 Oct ’25 published
- Delft University of Technology (TU Delft); Published today
- Leiden University
- Radboud University
- University of Amsterdam (UvA); yesterday published
- University of Groningen
- Delft University of Technology (TU Delft); 10 Oct ’25 published
- Delft University of Technology (TU Delft); 3 Oct ’25 published
- Delft University of Technology (TU Delft); today published
- Delft University of Technology (TU Delft); yesterday published
- Eindhoven University of Technology (TU/e)
- KNAW
- Universiteit van Amsterdam
- University of Amsterdam (UvA)
- University of Amsterdam (UvA); Published yesterday
- Utrecht University
- Vrije Universiteit Amsterdam (VU)
- 11 more »
- « less
-
Field
-
mathematical machine learning theory and explainable AI. (This point is about your motivation, not about the courses you have taken.) Programming skills: You should have very good programming skills in Python
-
of seed dispersal and tree establishment for forest regrowth. Impact. This study connects the fields of plant, animal, and landscape ecology. It advances successional theory by providing a pantropical
-
trade-offs and maximizes synergies between landscape services. In this PhD project you will develop this innovative theory and combine spatial analysis with a Research Through Design approach. You first
-
faculty cover a set of clearly defined research areas within strategy and entrepreneurship, and applicants are expected to develop research interests that explicitly align with these areas. The initial
-
Challenge: Distinguish noise and signal in data streams Change: Refined asymptotic analysis of stochastic processes Impact: Faster detection of anomalies and reliable uncertainty quantification Job
-
academic researchers. The project will enable the PhD student to develop new theories about consumer behavior and/or psychology and test these theories utilizing quantitative research. Students define and
-
of thousands of software engineers. Across several tracks, we will develop tools that rethink the future of software engineering. Our work will be informed by sound theories and supported by empirical data. In
-
. Our work will be informed by sound theories and supported by empirical data. In this project, we will use AI as an opportunity and address the challenges that emerge due to AI. Our goal is to conduct
-
have set up idea management programs and innovation contests to facilitate the generation, development, and implementation of new products, services, processes, and business model ideas. However, out of
-
of thousands of software engineers. Across several tracks, we will develop tools that rethink the future of software engineering. Our work will be informed by sound theories and supported by empirical data. In