Sort by
Refine Your Search
-
Listed
-
Employer
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- Wageningen University & Research
- Utrecht University
- University of Amsterdam (UvA)
- Vrije Universiteit Amsterdam (VU)
- Leiden University
- Erasmus University Rotterdam
- European Space Agency
- University of Groningen
- Maastricht University (UM)
- Naturalis
- Radboud University
- University Medical Centre Groningen (UMCG)
- University of Twente (UT)
- University of Utrecht
- ARCNL
- NIOZ Royal Netherlands Institute for Sea Research
- Princess Máxima Center for Pediatric Oncology
- University of Twente
- 10 more »
- « less
-
Field
-
that represents the region’s complex palaeogeographical development and depositional environments. Using this model, you will investigate infiltration and extratraction schemes, interactions between surface water
-
synthesis out of fossil-based and one time use to continuous reuse of polymeric products. Current recycling methods cannot recover high-value polymers from complex waste streams such as multilayer packaging
-
effective tools for both cancer imaging and targeted therapy. However, their development is constrained by limited access to essential enriched starting materials and the complex technologies required
-
use, providing richer context and a more comprehensive analysis of current complex issues in society. If this fits your expertise and interests, the Interaction Division of Utrecht University is seeking
-
engineering involve physical systems that evolve over time while exhibiting rich mathematical structure. Fluid flows, reactive materials, biological systems, plasmas, and complex engineered processes
-
, interdisciplinary team. A proven ability to manage complex projects to completion on schedule. Excellent (written and verbal) proficiency in English, good communication and leadership skills. Additional Information
-
identification, gene cluster family classification, and functional prediction, to work with highly fragmented and complex eDNA datasets. This project is part of the larger European AEGIS consortium, bringing
-
capture the full complexity of processes in midlatitude stratocumulus. These will range from the kilometre scale down to micrometre scale at which turbulence influences the rate at which cloud droplets
-
building and managing complex relational datasets; Proficiency in Python, R or comparable analytical languages and software; Proficiency in the use of large-language models (LLMs) for quantitative and/or
-
learning approaches to process and interpret large and complex Remote Sensing datasets. When joining our group, you will also join the wider and growing ecosystem of WUR , where artificial intelligence is