Sort by
Refine Your Search
-
Employer
- Delft University of Technology (TU Delft)
- Utrecht University
- Leiden University
- University of Twente (UT)
- Wageningen University & Research
- Eindhoven University of Technology (TU/e)
- University of Amsterdam (UvA)
- University of Groningen
- Radboud University
- University of Twente
- Naturalis
- Vrije Universiteit Amsterdam (VU)
- ARCNL
- Amsterdam UMC
- European Space Agency
- NIOZ Royal Netherlands Institute for Sea Research
- Radboud University Medical Center (Radboudumc)
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- Universiteit Leiden
- 9 more »
- « less
-
Field
-
of fundamental and applied research, to benefit from close interactions with experts across multiple disciplines, and to contribute to innovations that can have a tangible impact on sustainable biomanufacturing
-
, combining biomechanical realism, synthetic data generation, and privacy-preserving visualization within a single framework, to enable both clinical assessment and secure, long-term home monitoring. You will
-
+ Institute for Nanotechnology. The project offers a combination of hands-on experimental work, data analysis, physical interpretation and close interaction with industrial partners. You will contribute to a
-
and validate a novel single-camera markerless motion capture system, combining biomechanical realism, synthetic data generation, and privacy-preserving visualization within a single framework, to enable
-
are also expected to interact scientifically with other research staff and students, as well as organize and participate in seminars, such as those of the Hybrid Intelligence Centre. The research is
-
to communicate and interact well, participate in English-taught Doctoral Education courses, and write scientific articles and a final thesis. For more details please check the Graduate Schools Admission
-
emphasis on understanding natural behaviours such as navigation, orienting and reaching. The position offers a highly collaborative environment, with close interaction with researchers at the Donders
-
strongly relies on the interaction between wind and dune shape. Recent improvements in airflow modelling and coastal dune modelling are promising. However, getting accurate wind field predictions remains
-
, navigation and control, visual landing and event-based vision, scientific deep learning for physical systems, spiking neural networks for event-based systems. Building on this experience, the research line
-
Join an ambitious, multidisciplinary project at the crossroads of interaction and urban design, where your research can shape the vision of open and accessible cities! This position is part of