Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- University of Twente (UT)
- Utrecht University
- Wageningen University & Research
- University of Amsterdam (UvA)
- University of Groningen
- Maastricht University (UM)
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- University of Twente
- KNAW
- Naturalis
- Radboud University Medical Center (Radboudumc)
- Sanquin Blood Supply Foundation (Sanquin)
- University Medical Center Groningen
- Vrije Universiteit Amsterdam (VU)
- 6 more »
- « less
-
Field
-
develop and apply an innovative AI-driven 3D spheroid model to recreate the tumour microenvironment (TME) observed in vitro to enable more physiologically realistic drug testing and therapy prediction. As a
-
Vision science and predictive coding Clinical neuroscience and neurotechnology Vision serves as our core model system, allowing us to link detailed neural mechanisms to perception, behaviour, and disease
-
people represent environments through concepts such as mental models, cognitive maps, and cognitive graphs. These approaches have provided important insights into how people perceive locations, learn route
-
environmental challenges? Join the Department of Physical Geography at Utrecht University as a PhD candidate and help shape the next generation of geospatial modelling. Your job Predicting ecosystem dynamics
-
of our PhD community. This is what you'll be doing You'll work on modelling and monitoring of pollinators in Dutch landscapes as part of an EU-funded Life project PolliNature. In this project, several
-
to schematize and parameterize the subsurface at local to regional scales to assess dike safety using geological and geohydrological data and models, for characteristic fluvial landscapes in the Netherlands. UU
-
Qualcomm, the POP-AART lab with Elekta and the Netherlands Cancer Institute, and the AIRIS programme on mechanism-informed generative models for predictive and personalised medicine. CyPhai is part of
-
of the disease. A major constraint of most existing methods for cure models is the sufficient follow-up assumption, i.e. the study duration should be longer than the time span of possible events, which is rarely
-
across relevant temperature, composition, and redox conditions, and translating these insights into predictive models for industrial application. You will design and conduct high-temperature equilibration
-
are poorly understood and not accounted for in current-generation hydrological models. The PhD research project will address these issues for more reliable hydrological predictions with a focus on the