Sort by
Refine Your Search
-
Employer
- Delft University of Technology (TU Delft)
- Delft University of Technology (TU Delft); Delft
- Delft University of Technology (TU Delft); Published today
- Delft University of Technology (TU Delft); yesterday published
- Eindhoven University of Technology (TU/e)
- University of Amsterdam (UvA); today published
-
Field
-
Description Join the DigiOcean4Solar project to develop a Digital Ocean environment for fast and reliable simulations of wind-wave-structure interactions in floating solar farms. Job description We are looking
-
. Demonstrable experience in developing analytical and numerical models for dynamic systems (e.g. FEM, multiphysics simulations, etc.). Strong critical thinking, problem-solving, and inventive skills, with
-
of floodplain channels and lakes). By combining field monitoring and numerical modelling approaches, we will assess how reactivated paleochannels, constructed floodplain systems, or other solutions can create
-
, Electrical Engineering or a closely related field. Demonstrable skills in numerical modeling, simulation, and data analysis. A solid understanding of Physics, Optics, Electron Optics and microscopy systems. A
-
. You will develop numerical models for nanoscale heat dissipation to interpret the experimental data. The project will be supervised by Prof. Zijlstra (Molecular Plasmonics group) and co-supervised by
-
of floodplain channels and lakes). By combining field monitoring and numerical modelling approaches, we will assess how reactivated paleochannels, constructed floodplain systems, or other solutions can create
-
reservoirs in terms of geology. Using advanced geological modelling and numerical simulation techniques, this position will investigate the geological controls on hydrogen storage in depleted natural gas
-
data. Perform numerical simulations of subsurface hydrogen storage including chemical reactions for an ensemble of geological models that were developed in the Rapid Reservoir Modelling software. Develop
-
durability against chloride ingress and carbonation; Predicting service life of precast SCC elements; Coupling experimental durability data with advanced numerical simulations. The researcher will be based in
-
durability data with advanced numerical simulations. The researcher will be based in the Microlab (Section Materials & Environment), Faculty of Civil Engineering and Geosciences, Delft University of Technology