Sort by
Refine Your Search
-
Employer
- Delft University of Technology (TU Delft)
- University of Groningen
- Utrecht University
- Eindhoven University of Technology (TU/e)
- University of Amsterdam (UvA)
- University of Twente
- University of Twente (UT)
- Vrije Universiteit Amsterdam (VU)
- ARCNL
- European Space Agency
- Leiden University
- Radboud University
- Radboud University Medical Center (Radboudumc)
- Tilburg University
- 4 more »
- « less
-
Field
-
associated with substantial losses of sea ice over both hemispheres. Existing climate models are currently unable to accurately forecast these changes, in part due to their imperfect representation of ocean
-
challenging, especially in dunes with complex topography. Your job In this 2-year postdoc position, you will use numerical modelling and machine learning techniques to increase the accuracy of coastal dune
-
: the macroscopic world seems to follow instead the laws of classical physics. At an even deeper level, despite work of 100 years, physics has yet to find a clear way to integrate gravitational effects into quantum
-
behaviour of carbon-based materials such as graphene. Your project on the atomistic mechanisms of liquid copper infiltration (LCI) in steels and the inhibitory role of silicon aligns with the team's broader
-
, University of Twente. Within P4Q, you will work on photonic integrated circuits (PICs) for quantum communication and quantum networking. A central element of the project is the integration of high-brightness
-
Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Shape the future of biomaterials from waste! Job description We
-
Netherlands. Your job The transition towards a circular, fossil-free chemical industry requires new routes to convert renewable carbon feedstocks and CO₂ into high-value chemicals and materials. Furan derivatives
-
for teachers to design their courses so the use of AI contributes to meaningful learning; and (4) create an engaged community around teaching and learning in the age of AI. For this post-doc position you will
-
Your work environment You will be part of Team Dey within the Computational Materials Science section at TU Delft. This team focuses on atomistic simulations to investigate materials for sustainable
-
for subsurface water storage systems. Your main case-study area are the islands of Zeeland and Zeeuws-Vlaanderen, with connections to monitoring and pilot sites. You will work at the interface of hydrogeology