Sort by
Refine Your Search
-
Listed
-
Employer
- Utrecht University
- Delft University of Technology (TU Delft)
- Leiden University
- Eindhoven University of Technology (TU/e)
- University of Amsterdam (UvA)
- Erasmus University Rotterdam
- European Space Agency
- University of Twente
- Wageningen University & Research
- NIOZ Royal Netherlands Institute for Sea Research
- University of Twente (UT)
- AMOLF
- ARCNL
- DIFFER
- Maastricht University (UM)
- Radboud University
- Vrije Universiteit Amsterdam (VU)
- 7 more »
- « less
-
Field
-
wired to regulate the deposition of cell wall polymer suberin across different tissues with different dynamics. Specifically, MYBstery aims to uncover the transcriptional (UU, this position) and post
-
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
-
to the development of improved weight loss strategies in people with obesity? Then join our highly dynamic international team at the Department of Human Biology at Maastricht University. As a research assistant, you
-
engineering, operations research, supply chain management, or a related field. Experience with system modeling or scenario analysis (e.g., system dynamics, agent-based modeling, MCDA, causal mapping
-
understanding, design, production including application and product improvement, materials, processes and (mechanical) systems. ME is a dynamic and innovative faculty with high-tech lab facilities and
-
investigator. As part of the Commencing CRISPR Commons project, you will collaborate with our international partners, forming a dynamic research environment that contributes to a globally impactful initiative
-
desired Good to excellent proficiency in English is required Where you will work The Faculty of Science is a world-class faculty where staff and students work together in a dynamic international environment
-
for when and how AI agents should intervene, how they represent and communicate data, and how they adapt to evolving group dynamics over time. A specific interest is group decision-making and sensemaking
-
scientific data, model architectures, and training dynamics influence scientific predictions. You will join a vibrant research environment at TU/e at the intersection of AI, scientific computing, and
-
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