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nutrient stress. Scaling up laboratory findings from controlled photobioreactors to outdoor semiindustrial raceways while ensuring productivity stability. Modeling hydrodynamics and energy-efficient mixing
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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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, Environmental Engineering, or a closely related field, including courses in hydraulics/fluid mechanics. Knowledge of Python programming, machine learning (ML) or AI is a plus. Experience in hydrodynamic modelling
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related field, including courses in hydraulics/fluid mechanics. Knowledge of Python programming, machine learning (ML) or AI is a plus. Experience in hydrodynamic modelling of water systems is required, and
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the University of Maine) with added electrolyser, ancillary plant and hydrogen storage tanks. FOW foundations with hydrogen storage and subject to wind turbine and hydrodynamic loads will be analysed in terms
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the fields of nanoelectrochemistry, electrochemical imaging, kinetics and mechanisms, hydrodynamic techniques, spectroscopy, microscopy (AFM and STEM), programming, data analysis, and multiphysics modelling
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able to perform both analytical and numerical calculations. Experience with analytical or numerical modelling of active systems is desired. Experience with continuum/ hydrodynamic theories
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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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strong contributions to environmental flow modeling, energy systems, and thermal processes. LPENSL (Physics Laboratory of the École Normale Supérieure de Lyon) Supervisors: Romain Volk and Mickael Bourgoin
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Postdoctoral Researcher to join the NWO-VIDI project Not-Just-Water, which investigates how multiple phases (e.g. air, water, debris) influence impact loads on structures during extreme hydrodynamic events