Sort by
Refine Your Search
-
Listed
-
Category
-
Employer
- Delft University of Technology (TU Delft)
- University of Twente
- Utrecht University
- Eindhoven University of Technology (TU/e)
- University of Amsterdam (UvA)
- University of Twente (UT)
- Maastricht University (UM)
- Vrije Universiteit Amsterdam (VU)
- Wageningen University & Research
- Radboud University
- ;
- Delft University of Technology
- Erasmus University Rotterdam
- KNAW
- Leiden University
- NLR
- Tilburg University
- University Medical Center Utrecht (UMC Utrecht)
- University of Groningen
- 9 more »
- « less
-
Field
-
tools Computer science » Programming Engineering » Biomedical engineering Engineering » Simulation engineering Researcher Profile First Stage Researcher (R1) Application Deadline 30 Apr 2026 - 21:59 (UTC
-
of such structures. In doing so, you will develop both analytical theory and perform numerical simulations. You will collaborate closely with your experimental partner in Eindhoven, exploring
-
balance of individual plasma species. You will implement new modelling approaches in state-of-the-art plasma simulation platforms, such as nonPDPSIM and HPEM , in the context of plasma etching and EUV
-
from this PhD project into an agent-based model. This model will be developed by other PhDs in the project team and simulates household adaptation behaviour over time in global flood-prone regions
-
application. A copy of your MSc graduation thesis or internship report. Ensure that you submit all the requested application documents. We give priority to complete applications. We look forward to receiving
-
the gap from pore scale physics to engineering-scale simulation tools. Sounds interesting? Then this position might just be the one for you! Information Porous media play a central role in many technologies
-
and develop innovative PLL architectures and their key building blocks. Your work will include system-level modeling, architectural exploration, transistor-level circuit design, and detailed simulation
-
(simulations and synthetic datasets) to validate theoretical predictions; apply your methods to large-scale viral datasets to test theoretical hypotheses and identify new regularities; contribute
-
to genomic and epidemiological data; design controlled computational experiments (simulations and synthetic datasets) to validate theoretical predictions; apply your methods to large-scale viral datasets
-
mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. In other words: there is plenty of room