Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- Utrecht University
- Erasmus University Rotterdam
- University of Twente
- KNAW
- University of Amsterdam (UvA)
- Maastricht University (UM)
- University of Twente (UT)
- Wageningen University & Research
- Radboud University
- University Medical Center Utrecht (UMC Utrecht)
- Vrije Universiteit Amsterdam (VU)
- AMOLF
- Amsterdam UMC
- DIFFER
- Erasmus University Rotterdam (EUR)
- NLR
- Radboud University Medical Center (Radboudumc)
- University of Groningen
- Wetsus - European centre of excellence for sustainable water technology
- 11 more »
- « less
-
Field
-
opportunity to work in a top-tier interdisciplinary setting. This is what you will do You will develop predictive computational models to capture the formation and heterogeneous structure of microthrombi, with
-
scenarios. Your research will map multilevel governance structures and you will co‑create mitigation strategies through participatory workshops. You will model farmers’ adaptation behaviour using agent‑based
-
these new noise sources, influenced by complex building structures and in the presence of other noise sources, is limited, and scientific studies to understand the impact on people are therefore needed
-
into complex tissue-like structures. These structures offer exciting opportunities to mimic organ development and embryogenesis in vitro. However, current organoid models still only partially replicate natural
-
rare diseases. Experience with molecular biology is highly desirable. The ideal candidate demonstrates: A critical and analytical scientific mindset Attention to detail and a structured approach to data
-
of algorithms and data structures for spatial data. It combines clever algorithmic techniques with beautiful geometric concepts to obtain efficient solutions to algorithmic problems involving spatial data
-
competencies and organisational models in the construction sector and built environment in general. Your research will focus on identifying labour-market risks, emerging opportunities and governance challenges
-
or a related technical field. Most importantly, you are motivated to design AI systems that are not only technically sound, but structurally transparent and aligned with citizen empowerment. Experience
-
of spatial representations and embeddings, exploring how spatial abstractions and learned representations structure similarity, proximity, and relevance in decision-making processes. The PhD will be conducted
-
for Technology-Inspired Regenerative Medicine at Maastricht University (40%) Additional collaborative sites involved in the project (20%) This structure allows you to gain experience in both academic and