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Field
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streaming, modulating hydrodynamic drainage and confinement, and thus tuning the balance among dispersion, hydration, and electrostatic forces. By coupling rapid field actuation with force spectroscopy and
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thesis, (assignment) report or other publication demonstrating your experience in numerical modelling of (complex) fluid flow problems. Specific experience in the modelling of hydrodynamics (turbulence
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miscible) is approached. Moreover, as the correlation length diverges, fluctuations become increasingly important and the physics of these fluctuations has to be considered and modelled near the liquid
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sensing (e.g., PlanetScope, Sentinel-1), advanced numerical modelling (HEC-RAS, Delft-FM), and targeted field surveys to map mining intensity, simulate channel adjustment, and assess changing flood hazards
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analysis framework that supports flood-resilient urban design by combining multi-sensor Earth observation (EO) data, hydrological–hydrodynamic models, urban digital twins, and advanced AI methodologies
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and simulation of PV systems and other offshore renewable energy technologies; hydrodynamic and fluid dynamic systems; programming and numerical modelling (e.g. Python, MATLAB); computational fluid
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experimental data from hydrodynamic labs for validation purposes. Apply the AI models to develop an AI-based decision support framework for operability assessment for ships in planned voyages under forecasted
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data from hydrodynamic labs for validation purposes. Apply the AI models to develop an AI-based decision support framework for operability assessment for ships in planned voyages under forecasted
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collaborative team engaged in a range of research projects in marine hydrodynamics, both computational and experimental. This is a fully on-site role, with work taking place in the office and laboratory. We
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to a doctoral degree. The focus of this position is research on hydrodynamic loads and performance of tidal turbines under realistic flow and clearance conditions. Tidal-stream energy offers a