Sort by
Refine Your Search
-
Listed
-
Employer
- Delft University of Technology (TU Delft)
- Utrecht University
- Vrije Universiteit Amsterdam (VU)
- Wageningen University & Research
- Eindhoven University of Technology (TU/e)
- University of Amsterdam (UvA)
- Erasmus University Rotterdam
- Erasmus University Rotterdam (EUR)
- KNAW
- Leiden University
- NIOZ Royal Netherlands Institute for Sea Research
- Radboud University
- University of Twente
- 3 more »
- « less
-
Field
-
conditions. However, current global climate models (GCMs) lack the spatial resolution to capture these processes, while high-resolution regional models remain too computationally expensive for large ensemble
-
adsorbent materials with the goal of understanding performance and adsorption mechanisms for the target pollutants. Explore laboratory data using statistics and adsorption models to understand underlying
-
enthusiastic early‑career researcher eager to develop quantitative, spatially explicit models that support climate‑resilient urban planning? Do you want to work at the intersection of Industrial Ecology, GIS
-
hidden patterns from them? Do you enjoy exploring mathematical models and working with network data? Join our team! Job description Complex systems are often modeled with networks, structures where
-
project, bringing together various Dutch universities, waterboards, drinking water companies, and industrial partners. You will join a modelling and assessment‑oriented work package and collaborate closely
-
shape crystallization pathways and will generate comprehensive experimental datasets to inform improved risk assessment frameworks for heritage conservation in a changing climate. Salt crystallization is
-
The climate and biodiversity crises make it urgent to rethink how we manage land and water. Current land-use systems are often eroding the ecological foundations on which long-term prosperity depends. Existing
-
detailed insights in their regeneration processes are limited. In this project, you will use tomato as a main model species, supplemented with work in Arabidopsis thaliana. You will use molecular techniques
-
, combining quantitative analysis with stakeholder engagement and policy evaluation. You will assess the direct and indirect economic impacts of salinization across vulnerable regions and future climate
-
on building dynamic system models for both the energy conversion technologies and the greenhouse climate, integrating these into a unified framework suitable for state estimation, predictive control, and