Sort by
Refine Your Search
-
Listed
-
Employer
- University of Groningen
- Radboud University
- University of Twente
- Leiden University
- University of Amsterdam (UvA); Amsterdam
- Utrecht University
- CWI
- Wageningen University and Research Center
- Erasmus University Rotterdam
- Leiden University; Leiden
- University of Amsterdam (UvA)
- Maastricht University (UM)
- Maastricht University (UM); Maastricht
- University of Twente (UT)
- University of Twente (UT); Enschede
- Eindhoven University of Technology (TU/e)
- Vrije Universiteit Amsterdam (VU)
- Delft University of Technology
- Eindhoven University of Technology (TU/e); Eindhoven
- Erasmus MC (University Medical Center Rotterdam)
- Radboud University Medical Center (Radboudumc); Nijmegen
- Tilburg University
- Universiteit van Amsterdam
- University of Amsterdam
- 14 more »
- « less
-
Field
-
retrofit-engagement typologies, linking socio-economic and building data to identify the most effective outreach strategies and technical solutions. 4. A database evaluating citizen willingness and ability
-
employment contract for the period of 48 months. The first contract will be for 16 months, with an extension for the following 32 months, contingent on a positive performance evaluation within the first 12
-
strategies and technical solutions. 4. A database evaluating citizen willingness and ability to take retrofit action, providing insights for scaling the approach to other marginalized regions/neighborhoods. 5
-
contract will be for a period of 18 months and after satisfactory evaluation it will be extended for a total duration of 4 years). The starting date is flexible but is preferably around January 2026
-
temporary employment contract (1.0 FTE) of 1.5 years, after which your performance will be evaluated. If the evaluation is positive, your contract will be extended by 2.5 years (4-year contract). You will
-
and accurately after surgery to measure and evaluate patients’ recovery progress, timely detect and even predict clinical adverse events like delirium, cardiac arrhythmias and pneumonia. In this project
-
developed friction tester. • Critically evaluate earlier developed friction models and extend them to account for effects such as slip direction and temperature dependence. • Implement
-
rings. In order to work, such protocols and applications rely on the evaluation of symmetric cryptographic primitives (such as ciphers and hash functions), whose details have a crucial impact on the
-
biased AI systems to identify challenges and the types of support needed for effective intervention. Designing and evaluating socio-technical interventions – Prototyping and testing interventions, such as
-
trading decisions under high price volatility. This PhD position focuses on designing, developing, and evaluating self-learning energy trading algorithms that are able to cope with these challenges. By