Sort by
Refine Your Search
-
Category
-
Employer
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- Utrecht University
- Wageningen University & Research
- Maastricht University (UM)
- University of Amsterdam (UvA)
- Leiden University
- University of Twente (UT)
- Vrije Universiteit Amsterdam (VU)
- University of Groningen
- Centrum Wiskunde en Informatica (CWI)
- Naturalis
- Tilburg University
- University of Twente
- AMOLF
- ARCNL
- Erasmus MC (University Medical Center Rotterdam)
- Radboud University Medical Center (Radboudumc)
- The Open Universiteit (OU)
- 9 more »
- « less
-
Field
-
If you are eager to perform cutting-edge molecular modeling to accelerate the development of green and low-carbon hydrogen technologies, then this is position is for you. Job description You will
-
-on-modelling-of-tu… Requirements Specific Requirements We seek candidates who are motivated by the proposed research, take initiative to develop ideas, are self-driven, and can work both independently and within
-
, theoretical computer science, or a closely related field. Strong enthusiasm for mathematics and abstraction, matched with the motivation to conduct theory-driven research, the ability to develop rigorous
-
modelling for conversion and sorbent regeneration, in conjunction with another PhD student in the department who will perform CFD modelling and other researchers performing process system modelling within
-
PhD position on Modelling of turbidity current fluxes in submarine canyons Faculty: Faculty of Geosciences Department: Department of Earth Sciences Hours per week: 36 to 40 Application deadline
-
to contribute to high-tech applications, state-of-the-art modelling or experimentation of advanced sustainable materials across the scales? We are looking for outstanding and enthusiastic PhD candidates, with a
-
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
-
rules directly from multicellular migration experiments. We therefore seek a candidate who is excited by rigorous statistical mechanics and data-driven modelling, and who is eager to use these approaches
-
learning pipelines for multilayer segmentation and nanoscale transistor classification from microscopy images; (b) Designing graph-based inference models capable of reconstructing higher-level logical blocks
-
a wild, non-model plant species. Your job To face climate change and other environmental challenges, the capacity for rapid adaptation is crucial for both natural plant populations and crops