Sort by
Refine Your Search
-
Category
-
Country
-
Employer
- CNRS
- Aalborg University
- Newcastle University
- Monash University
- Aarhus University
- Delft University of Technology (TU Delft)
- Forschungszentrum Jülich
- IDAEA-CSIC
- Leiden University
- Manchester Metropolitan University
- Manchester Metropolitan University;
- NTNU - Norwegian University of Science and Technology
- Tallinn University of Technology
- The University of Newcastle
- University of A Coruña
- University of Santiago de Compostela
- 6 more »
- « less
-
Field
-
erosion and retreat. Project Aim This PhD project aims to develop a new, multidisciplinary framework that combines high-resolution monitoring, hydrodynamic measurements, reduced-scale physical modelling and
-
to work at the intersection of renewable energy, reliability engineering, advanced control, and experimental hydrodynamics within the EU-funded project COIN. The successful candidate will contribute
-
, from fundamental theory, laboratory experiments, and detailed numerical simulations, to mesoscale pore network modeling and upscaling to continuum-scale theories that can be applied in application
-
marine datasets in the Baltic Sea region, including in situ observations, remote sensing products, and hydrodynamic model outputs. These datasets can be unified through a geoid-based vertical reference
-
(focusing on polar and alpine environments) and geophysical fluid dynamics. We collaborate with several colleagues from the Physics Laboratory, who are experts in hydrodynamics/climate research (about 15 PIs
-
flow distribution, mass transfer limitations, and electrode performance. Validate models using lab and pilot-scale systems, linking hydrodynamics to electrochemical performance 2. Energy Integration
-
nucleosynthesis in violent episodes suffered by ancient stars" (with Dr Carolyn Doherty) "Applying 3D stellar hydrodynamics findings to 1D stellar codes: Improving the modelling of convection in stars" web page
-
-fidelity numerical models to be analysed under regular and irregular sea states (e.g., coupled hydrodynamic–structural models and/or FEM workflows). Develop surrogate models representing the coupled dynamic
-
response, infrastructure resilience, and long-term planning. Traditional flood modelling approaches fall into two broad categories. Physically based hydrodynamic models, such as CityCAT, simulate flood
-
). Assessing physical and chemical impact pathways associated with offshore wind installation and operation & maintenance (O&M), including underwater noise and vibrations, seabed and hydrodynamic changes