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comprehensive computational modelling of the cardiovascular system, informed by extensive blood flow measurements using phase-contrast MRI in patients and healthy controls. As the successful candidate, you will
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models. The successful candidate will participate in experimental design, execution, data analysis and interpretation, development and optimization of research methods, preparation of scientific
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Title: Modelling dynamics and reactivity with Machine Learning Interatomic Potentials Supervisor: Professor Fernanda Duarte Start date: 1st October 2027 Applications are invited for a fully funded
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monitoring, earthquake physics, ground-motion modelling, site response, exposure and vulnerability, and probabilistic seismic hazard and risk assessment, working to strengthen Singapore’s national capabilities
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Elmer/Ice ice flow model. The research project will proceed in the following three successive stages: Stage 1: Theoretical Implementation and Synthetic Validation The first stage will consist
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of vascular regions and their behavior under controlled flow conditions. Where to apply Website http://www.unisannio.it Requirements Additional Information Eligibility criteria Admission requirement: PhD degree
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propulsion, sustainable shipping, engineering modelling, and the application of technical evidence to real-world environmental policy. Essential Criteria: A good undergraduate degree, normally equivalent to a
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to verify lake surface current simulations from NOAA's Great Lakes Operational Forecast System using multiple approaches, including comparing model outputs with available observation datasets (e.g., drifter
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operates scientific instruments for current and future space missions (e.g. ESA, NASA), and carries out cosmochemical laboratory investigations of meteorites as well as numerical modeling on state-of-the-art
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of various cardiovascular cell types, 3D cell models, spheroids and organoids, infection-related experimental models, flow cytometry, microscopy, and molecular and functional cellular characterization