Sort by
Refine Your Search
-
Employer
- Delft University of Technology (TU Delft)
- Leiden University
- Amsterdam UMC
- KNAW
- Maastricht University (UM)
- University Medical Center Utrecht (UMC Utrecht)
- University of Twente (UT)
- Utrecht University
- Erasmus MC (University Medical Center Rotterdam)
- University of Amsterdam (UvA)
- University of Twente
- 1 more »
- « less
-
Field
-
architecture (i.e. hydrogeological schematizations) that encompass the 3D variability in geohydrological properties. These models are to be validated using real-world monitoring data (e.g. on sand boils), and
-
Modeling: Generating and maintaining patient-stratified iPSC lines and innovative 3D "brain chimeroid" models. o Advanced Neurophysiology: Assessing functional network activity and synaptic dynamics using
-
Vacancies PhD position "Synthetic Active Matter: Unravelling 3D Real-Space Dynamics" Key takeaways The project focuses on the experimental realization and study of artificial microswimmers
-
. The first one will advance techniques for large-scale 3D particle tracking by merging measurement theory and practice with flow modelling for applications in industrial wind tunnels for the aerospace sector
-
microswimmers/microrobots that can move and interact autonomously in 3D environments, mimicking the complex dynamics of microorganisms in fluids. Living systems such as bacteria or algae exhibit remarkable
-
with simulated data and 2D and 3D imaging data of plant tissues (the thale cress Arabidopsis and the aquatic fern Ceratopteris). At a later stage, the models can be extended to three dimensions using
-
of average climate measurements, which are then used to control the overall climate setpoints. Awareness of micro-climate insight and fine-grained, model-based control of locally applied ventilation is lacking
-
differentiating these stem cells into organ specific cell types and 3D organoids together with CRISPR technology, you will study how genetic variants shape cellular responses to chemical exposure. Combined with
-
of the subsurface architecture (i.e. hydrogeological schematizations) that encompass the 3D variability in geohydrological properties. These models are to be validated using real-world monitoring data (e.g. on sand
-
learning, Efficient Algorithms and High Performance Computing), and Physics (Image Formation Modelling). Your project is part of the DUAL-IMPACT project, which focuses on the development of new data-driven