Sort by
Refine Your Search
-
Listed
-
Employer
- Eindhoven University of Technology (TU/e)
- University of Amsterdam (UvA)
- European Space Agency
- University of Twente
- University of Twente (UT)
- Utrecht University
- AMOLF
- Amsterdam UMC
- Erasmus University Rotterdam
- Erasmus University Rotterdam (EUR)
- Radboud University
- Tilburg University
- Wageningen University & Research
- 3 more »
- « less
-
Field
-
associated conditions are in accordance with the collective labour agreement for Dutch universities (CAO-NU); depending on experience gross monthly pay of € 4.241,- to € 5.538,- Excellent employment benefits
-
associated with loss and trauma; (iii) freezing responses in the face of threat; (iv) partner and family dynamics in coping with adversity; (v) self-esteem and related self-concepts in psychological
-
of psychological consequences of loss, trauma and illness; (ii) emotional imagery associated with loss and trauma; (iii) freezing responses in the face of threat; (iv) partner and family dynamics in coping with
-
spacecraft and associated data governance challenges; obsolescence of traditional ways to deploy and sustain ground segment systems; new forms of space communications, such as optical and quantum technologies
-
act as contributors to these work packages. They will also be responsible for fulfilling the reporting requirements associated with the grant, including leading the preparation and submission
-
the duration of the ECOWIND project (until May 2028). Your salary and associated conditions are in accordance with the collective labour agreement for Dutch universities (CAO-NU). You will receive a gross
-
photonic crystals and metamaterials to high-quality optical resonators. We investigate the fundamental physics associated with such interactions, which are enhanced through optical field confinement in
-
for fulfilling the reporting requirements associated with the grant, including leading the preparation and submission of deliverables. Finally, the candidate should also contribute to the development of the field
-
of historical cyber incidents, vulnerabilities, and associated risk indicators; Developing, validating and evaluating a predictive demo model (e.g. regression-based or hybrid statistical/ML approaches
-
on complementary approaches, as well as other scholars in the programme. The project aims to identify and assess key forms of disruption associated with SDTs, with particular attention to changes in the organisation