Sort by
Refine Your Search
-
Listed
-
Program
-
Employer
- Delft University of Technology (TU Delft)
- Vrije Universiteit Amsterdam (VU)
- Wageningen University & Research
- University of Amsterdam (UvA)
- University of Groningen
- Utrecht University
- Eindhoven University of Technology (TU/e)
- Leiden University
- Radboud University
- Erasmus University Rotterdam
- IMD Business School
- European Space Agency
- University of Twente
- University of Twente (UT)
- Amsterdam University of Applied Sciences (AUAS/HvA))
- Erasmus Universiteit Rotterdam (EUR)
- Radboud University Medical Center (Radboudumc)
- SRON
- Tilburg University
- Universiteit Leiden
- 10 more »
- « less
-
Field
-
(there is room for learning-on-the-job). A PhD in aerospace/mechanical engineering or applied physics. Demonstrated ability to conduct research in experimental fluid mechanics. Proven competence on flow
-
explainable applications in the smart buildings domain. Building on open modelling standards and recent breakthroughs in (neuro-) symbolic learning methods, the researcher will investigate and evaluate
-
reflexive methodologies that invite collaborations across disciplines, sectors, and societal groups. These approaches are designed to foster mutual learning, challenge assumptions, and build trust - laying
-
: psychology, movement sciences and education. A multidisciplinary approach allows us to arrive at a better understanding of human behaviour and movement. Our aims are to help people live healthier lives, learn
-
workshops and reflection sessions, contributing to collaborative and transdiciplinary knowledge development under the principle of “learning together, developing together"; Publish articles in both peer
-
for the analysis and integration of –omics data. The group has a strong track record in (integrative) computational omics analysis, algorithm development, machine learning and scientific data infrastructure
-
allows us to arrive at a better understanding of human behaviour and movement. Our aims are to help people live healthier lives, learn better and function better. Are you interested in joining Behavioural
-
Vacancies PostDoc Research Position on Developing Technology for Subjective Sporting Experiences Key takeaways Can technology learn to listen to how athletes feel, and not just to what the sensors
-
the perspectives of the immune system and diseasedcells. Those learnings will make it possible to improve clinical products, provide new strategies for finding targetable HLA-bound antigens and to decipher what/how
-
you use them to organize, analyze, and present experimental results effectively. Ability to work in interdisciplinary research teams, and willingness to learn from others. Creative and critical problem