Sort by
Refine Your Search
-
Category
-
Employer
- Delft University of Technology (TU Delft)
- Utrecht University
- Eindhoven University of Technology (TU/e)
- Wageningen University & Research
- Amsterdam UMC
- University of Amsterdam (UvA)
- Maastricht University (UM)
- Leiden University
- University of Twente (UT)
- Vrije Universiteit Amsterdam (VU)
- Radboud University
- University of Groningen
- University of Twente
- KNAW
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- ARCNL
- Radboud University Medical Center (Radboudumc)
- University Medical Center Utrecht (UMC Utrecht)
- Centrum Wiskunde en Informatica (CWI)
- Erasmus MC (University Medical Center Rotterdam)
- Naturalis
- Tilburg University
- AMOLF
- HFML-FELIX
- Prinses Máxima Centrum
- Sanquin Blood Supply Foundation (Sanquin)
- The Open Universiteit (OU)
- University Medical Center Groningen
- University Medical Centre Groningen (UMCG)
- 19 more »
- « less
-
Field
-
help unlock the data needed for the energy transition? In the NWO-funded SHARE project, you will develop AI models that generate realistic, privacy-preserving synthetic energy data for grid planning and
-
mechanisms and developing disease models to preclinical therapy testing, clinical readiness and patient-informed treatment priorities. To achieve this, POLARIS brings together expertise in leukodystrophy
-
flood risk modelling, to answer questions that no existing dataset can address? Are you motivated by the challenge of generating credible extreme flood scenarios that lie beyond the range of historical
-
are seeking a PhD candidate for a 4-year contract to develop and apply computational models and video-based tools to capture hand movement and function with deployment in the home environment as the target
-
measurements and process-based modelling to identify the mechanisms linking vegetation, soil microorganisms and ecosystem carbon cycling. The project spans laboratory, field and ecosystem scales and combines
-
Are you interested in AI applications in flood risk modelling, to answer questions that no existing dataset can address? Are you motivated by the challenge of generating credible extreme flood
-
remain resilient in a world of increasing climate uncertainty? This PhD project offers the opportunity to work at the intersection of climate change, food systems, and advanced optimization modelling. You
-
Offer Description Deploy detailed models of coupled ocean / sea ice processes, probe their turbulent interactions, compare with observations, and design parameterizations for global climate models. Job
-
project developing next-generation circular steels that can safely operate in hydrogen environments. By combining advanced experiments with multiscale modelling, CIRHY enables reliable, sustainable steels
-
plant phenotyping, microbiome profiling, predictive modelling and targeted experimental validation to identify the microbial factors that make plants more resilient to disease. Your job You will join the