Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- Utrecht University
- Wageningen University & Research
- University of Amsterdam (UvA)
- Amsterdam UMC
- Maastricht University (UM)
- Leiden University
- University of Twente (UT)
- Radboud University
- University of Groningen
- Vrije Universiteit Amsterdam (VU)
- Royal Netherlands Academy of Arts and Sciences (KNAW)
- University of Twente
- HFML-FELIX
- KNAW
- Radboud University Medical Center (Radboudumc)
- ARCNL
- Erasmus MC (University Medical Center Rotterdam)
- University Medical Center Utrecht (UMC Utrecht)
- Centrum Wiskunde en Informatica (CWI)
- Naturalis
- Sanquin Blood Supply Foundation (Sanquin)
- Tilburg University
- University Medical Centre Groningen (UMCG)
- AMOLF
- Amsterdam UMC, location VUmc
- DIFFER
- Delft University of Technology
- Erasmus University Rotterdam (EUR)
- Hotelschool The Hague
- Leiden University Medical Center (LUMC)
- Prinses Máxima Centrum
- TU Delft
- The Open Universiteit (OU)
- University Medical Center Groningen
- 26 more »
- « less
-
Field
- Computer Science
- Engineering
- Medical Sciences
- Biology
- Economics
- Chemistry
- Materials Science
- Mathematics
- Psychology
- Linguistics
- Business
- Earth Sciences
- Humanities
- Science
- Social Sciences
- Arts and Literature
- Environment
- Law
- Design
- Electrical Engineering
- Physics
- Education
- Philosophy
- Sports and Recreation
- 14 more »
- « less
-
of repeatedly solving wave equations. In the project, we will develop a new mathematical and computational framework that combines PDE-based modelling with ideas from data-driven reduced-order modelling. The aim
-
of Amsterdam, under the supervision of Prof. Noushine Shahidzadeh (expert on crystallization and sol-gel process in confinement) and Prof. Hannelore Derluyn (expert in micro-CT 3D imaging for porous media
-
Can you 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
-
the brain white matter. The network aims to strengthen the full translational pathway from disease mechanism and model development to preclinical therapy testing, clinical readiness and patient-informed
-
white matter. The network aims to strengthen the full translational pathway, from understanding disease mechanisms and developing disease models to preclinical therapy testing, clinical readiness and
-
apparently successful classrooms. You will therefore develop and apply multilevel models that treat group-level disparities in inclusion as meaningful characteristics of the educational environment
-
focus We welcome candidates with a strong interest in developmental biology, organoid technology, and disease modelling. This position is part of the EU-funded Marie Curie doctoral network (VISI-ON-BRAIN
-
white matter. The network aims to strengthen the full translational pathway, from understanding disease mechanisms and developing disease models to preclinical therapy testing, clinical readiness and
-
. To address this challenge, the project aims to develop structural health monitoring technologies based on a digital twin. The digital twin will combine information from the physical structure with models and
-
will work with researchers in environmental geo-spatial AI method development, soil modelling and spatial statistics. Where to apply Website https://www.academictransfer.com/en/jobs/362722/phd-position