Sort by
Refine Your Search
-
Category
-
Program
-
Employer
- Delft University of Technology (TU Delft)
- Eindhoven University of Technology (TU/e)
- European Space Agency
- Utrecht University
- University of Twente (UT)
- University of Amsterdam (UvA)
- University of Groningen
- Wageningen University & Research
- Leiden University
- University of Twente
- Vrije Universiteit Amsterdam (VU)
- ARCNL
- KNAW
- AMOLF
- Amsterdam UMC
- Erasmus MC (University Medical Center Rotterdam)
- Erasmus University Rotterdam
- Erasmus University Rotterdam (EUR)
- Radboud University
- TU Delft
- 10 more »
- « less
-
Field
-
analytical sample processing (lab work); A theoretical background in marine environmental physiology, biogeochemistry, and ecology; Willingness to experiment with new data collections; Excellent communication
-
join a unique project which aims to develop the next generation of green and low-carbon hydrogen technologies. You will be embeded in the Process & Energy department of the Mechanical Engineering Faculty
-
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
-
modelling, materials processing, and device fabrication. The project is embedded in the national SolarNL initiative and includes collaborations with leading Dutch research institutes and industrial partners
-
lines. The design process will be guided by both simulations as well as experimental work and is carried out in close collaboration with an industrial partner, and you will become an integral part of
-
(see Cyron et al., 2016 ). You will then simulate cartilage microtissues growing inside engineered, confining microenvironments and investigate the key parameters influencing the growth process, with a
-
pathways, policy mixes, social simulation modelling, and possibly participatory value evaluation or gamification. You will collaborate with other early-career and senior researchers in the project, as
-
of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after
-
-based and UV-curable inks. Implement FEM simulations linking chemistry, processing, and performance. Integrate experimental data from the experimental PhD’s for model validation. Collaborate with
-
in our department and visitors in simulation and characterisation of processes in the Earth. You will support data acquisition with existing equipment in the ESL, such as the Zeiss Versa microCT