Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Groningen
- Radboud University
- Leiden University
- Utrecht University
- Delft University of Technology (TU Delft)
- University of Amsterdam (UvA)
- Wageningen University & Research
- Eindhoven University of Technology (TU/e)
- Leiden University; Leiden
- Wageningen University and Research Center
- KNAW
- Maastricht University (UM)
- Maastricht University (UM); Maastricht
- Vrije Universiteit Amsterdam (VU)
- Delft University of Technology (TU Delft); Delft
- Delft University of Technology (TU Delft); yesterday published
- University of Amsterdam (UvA); Amsterdam
- University of Groningen; Groningen
- University of Twente (UT)
- AMOLF
- ARCNL
- 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
- Eindhoven University of Technology (TU/e); Eindhoven
- Eindhoven University of Technology (TU/e); today published
- Erasmus University Rotterdam
- Radboud Universiteit
- Tilburg University
- Universiteit van Amsterdam
- University of Amsterdam (UvA); 26 Sep ’25 published
- University of Amsterdam (UvA); today published
- University of Amsterdam (UvA); yesterday published
- University of Twente
- University of Twente (UT); Enschede
- Utrecht University; today published
- Vrije Universiteit Amsterdam (VU); Amsterdam
- 27 more »
- « less
-
Field
-
the first direction, you will develop advanced system identification techniques that combine nonlinear dynamics theory with machine learning tools. The goal is to extract governing equations directly from
-
supported to grow professionally and contribute to both foundational theory and real-world impact. Consortium This position is part of a European Doctoral Network consortium REUNATECH- NATECH Risk Management
-
analysis of governance and the political economy of, primarily, the IJssel towns, with the aim of integrating this urban region better into the most recent historiographical debates about the premodern urban
-
work, conducting an interview about the style and technique, or analyzing how museum professionals present objects to the public, emphasizing and re-articulating some aspects of their provenance and the
-
, practitioners and researchers have realized that predictions made by machine learning models should be transparent and intelligible. Although explainable AI methods can shed some light on the inner workings
-
years, practitioners and researchers have realized that predictions made by machine learning models should be transparent and intelligible. Although explainable AI methods can shed some light on the inner
-
novel materials, tools, or artistic creations, humans instinctively explore the unknown in order to acquire information about it, to make sense of it, to act on it, and to appreciate what is in front of
-
professional network among researchers, artists, and museum specialists. A typical day may include filming a ceramist at work, conducting an interview about the style and technique, or analyzing how museum
-
foundational theory and real-world impact. Consortium This position is part of a European Doctoral Network consortium REUNATECH- NATECH Risk Management and Resilience of High-Tech Industries and Critical
-
to staff position within a Research Infrastructure? No Offer Description Our theory group is a worldwide leader in studying the statistical physics of living systems, ranging from chromosomes