Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- University of Groningen
- University of Twente
- Wageningen University and Research Center
- Radboud University
- Utrecht University
- Erasmus University Rotterdam
- Leiden University
- University of Twente (UT)
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- Delft University of Technology (TU Delft); Delft
- University of Amsterdam (UvA); Amsterdam
- University of Twente (UT); Enschede
- Maastricht University (UM)
- CWI
- Eindhoven University of Technology (TU/e); Eindhoven
- KNAW
- Maastricht University (UM); Maastricht
- Radboud University; Nijmegen
- University of Amsterdam (UvA)
- Vrije Universiteit Amsterdam (VU); Amsterdam
- DIFFER
- DIFFER; Eindhoven
- Delft University of Technology
- Erasmus MC (University Medical Center Rotterdam)
- Leiden University; Leiden
- Radboud University Medical Center (Radboudumc); Nijmegen
- Radix Trading LLC
- Tilburg University
- Universiteit van Amsterdam
- University of Amsterdam
- University of Groningen; Groningen
- VU Amsterdam
- Vrije Universiteit Amsterdam (VU)
- Wageningen University & Research
- Wageningen University & Research; Wageningen
- 26 more »
- « less
-
Field
-
-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation
-
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
-
on the theoretical and algorithmic development of control methods that combine physical modeling and real-time computation. The work will involve deriving reduced-order models, designing controllers that exploit
-
actions. 2. Policy recommendations for retrofit programs specifically designed to empower marginalized communities, ensuring equitable access to subsidies and resources. 3. A database of neighborhood
-
addresses the following central research question: how can we design human-AI collaboration to mitigate biases and foster equitable decision-making? To answer this question, the research will explore areas
-
models, designing controllers that exploit the system’s distributed dynamics, and validating them experimentally on soft robotic platforms in our lab. These include tentacle-like manipulators and soft arms
-
social innovations (e.g., community workshops) to engage marginalized households in retrofitting actions. 2. Policy recommendations for retrofit programs specifically designed to empower marginalized
-
unclear strategies for bias mitigation limit its effectiveness in practice. This PhD project addresses the following central research question: how can we design human-AI collaboration to mitigate biases
-
cooling is a core element of their design. The design and realization of PEDs involves (complex interactions between) societal, technical, economical and regulatory factors. EmPowerED – Enabling Positive
-
interdependently on a common goal. The current project applies both laboratory and field study designs to investigate how such multi-team systems adapt to unexpected events. Thereby we specifically focus on the role