Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Groningen
- Delft University of Technology (TU Delft)
- Erasmus University Rotterdam
- Leiden University
- University of Amsterdam (UvA)
- Wageningen University & Research
- Eindhoven University of Technology (TU/e)
- Leiden University; Leiden
- Radboud University
- Vrije Universiteit Amsterdam (VU)
- KNAW
- Maastricht University (UM)
- Maastricht University (UM); Maastricht
- Tilburg University
- Utrecht University
- Wageningen University and Research Center
- Delft University of Technology (TU Delft); Delft
- Delft University of Technology (TU Delft); 17 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); yesterday published
- University of Amsterdam (UvA); Amsterdam
- University of Amsterdam (UvA); yesterday published
- University of Groningen; Groningen
- University of Twente (UT)
- AMOLF
- ARCNL
- CWI
- 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); Published 31 Oct ’25
- Eindhoven University of Technology (TU/e); Eindhoven
- Eindhoven University of Technology (TU/e); today published
- Erasmus University Rotterdam (EUR)
- Radboud Universiteit
- Universiteit van Amsterdam
- University of Amsterdam (UvA); 26 Sep ’25 published
- University of Amsterdam (UvA); Published today
- University of Amsterdam (UvA); Published yesterday
- University of Amsterdam (UvA); today published
- University of Twente
- University of Twente (UT); Enschede
- Utrecht University; today published
- Vrije Universiteit Amsterdam (VU); Amsterdam
- Vrije Universiteit Amsterdam (VU); 17 Oct ’25 published
- 35 more »
- « less
-
Field
-
, 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 them
-
subgroups—in shaping how teams collaborate and perform under pressure. By advancing knowledge on these dynamics, we seek to contribute to both scientific theory and practical solutions for organizations. Your
-
Join us to explore the mechanics of soft matter through a unique blend of theory, hands-on experiments, and machine learning. Job description Soft matter such as polymers and hydrogels
-
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
-
. By advancing knowledge on these dynamics, we seek to contribute to both scientific theory and practical solutions for organizations. Your colleagues: This PhD position is part of a larger project
-
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
-
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
-
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
-
environment that brings together expertise in computational design, digital fabrication, and architectural history/theory. The project will be situated within ongoing explorations of robotic fabrication
-
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