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integrating advanced sediment transport and groundwater flow models, leveraging insights from fluvial hydraulics and new field experiments.The PhD candidate will work on: Collecting and analyzing data from
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computational modelling the primary tool for their safety analysis. The challenge is to develop a methodology that is both scientifically rigorous and practical for safety and licensing efforts. Current transient
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on dynamic system identification and digital twins has demonstrated significant advantages when applied to bridges, wind turbines, and high-rise buildings. Variations in dynamic characteristics - such as
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. The research will combine hydrodynamical modelling of stellar winds and planet–wind interactions with radiative transfer and atmospheric chemistry, and will be closely connected to current and upcoming
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of ionizing radiation, metals, and climate stressors. Current assessment tools rely on simplified benchmarks that treat each stressor separately and focus on short-term, individual-level effects. This leads
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come from one of the following countries: https://www.ugent.be/nl/onderzoek/financiering/bof/dos/countrylist.pdf More information about the scholarship: https://www.ugent.be/en/research/funding/bof/dos
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remains a global health challenge and currently available delivery systems often suffer from limited specificity and off-target toxicity. Engineered bacteriophages, viruses that infect bacteria, offer
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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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-Euclidean spaces. It in particular deals with data on a circle, a hypersphere, a torus, ...Such data are omnipresent in applications (e.g. wind directions or orientations, escape directions of animals
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. These studies will initially be performed in tractable cell lines to leverage insights gained in the molecular mechanism of protein complex formation, before moving into an iPSC-derived neuronal model and patient