Sort by
Refine Your Search
-
Listed
-
Employer
- Delft University of Technology (TU Delft)
- University of Amsterdam (UvA)
- Eindhoven University of Technology (TU/e)
- Utrecht University
- European Space Agency
- AMOLF
- Amsterdam UMC
- Erasmus University Rotterdam
- Leiden University
- University of Twente
- Vrije Universiteit Amsterdam (VU)
- Wageningen University & Research
- 2 more »
- « less
-
Field
-
University (UU) and prof. Laura Ragni at the University of Freiburg (U-Fr), funded by a NWO-DFG WEAVE grant. The project aims to understand how a complex network of conserved MYB transcription factors is
-
ability to synthesize complex findings. Excellent communication skills and a collaborative attitude. Furthermore, your suitability is ideally exemplified by: Initiative and independence in designing and
-
with different research methods, including self-report measures and ecological momentary assessment (EMA). Strong analytical skills and the ability to synthesize complex findings. Excellent communication
-
advances in our group, including new methods for detecting learning signals in linear networks that reveal aspects of the tasks they have learned, provide a powerful conceptual starting point. The scope
-
interaction with neuronal networks underlying memory storage and retrieval. For this, you will execute stereotactic surgeries to deliver viral vectors to specific brain regions implicated in memory. Furthermore
-
. The main research themes are Artificial Intelligence, Computational Science, and Systems and Network Engineering. Our research involves complex information systems at large, with a focus on collaborative
-
with industry, the public sector and NGOs we rehearse possible futures in research and education to design for a complex future. Click here to go to the website of the Faculty of Industrial Design
-
of new components for SmallSat missions, facilitate the integration of complex hardware and test the complete mission in all development phases. You will have a key role in the validation and verification
-
Bilevel programming (BP) is a powerful mathematical framework for modeling hierarchical decision-making processes involving two players: a leader and a follower. In energy network design, for example
-
stakeholder analysis, using methods such as literature review, qualitative interviews, and network analysis to identify key actors, trust flows, and governance dynamics. Building on these insights and those