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, mechanical engineering, or related subject with a record of publishing in high-quality journals. Good skills in applied Computational Fluid Dynamics (CFD) methods and proven experience of leading research
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for the research group: • Conduct CCS related experimental studies to obtain rock properties, evaluate rock/fluids interactions, and obtain results to be use in the development of CO2 storage site(s). • Use
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by combining genomics, fluid biomarkers and advanced neuroimaging and 3) to identify novel targets for diagnostic applications and therapeutic intervention. Fellows will work on research problems
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methods encompassing physics and data for the investigation of composite structures or fluid-structure interaction. Key Responsibilities: Undertake theoretical development of physics-enabled data driven
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-prediction benchmark studies. Depending on the qualifications and preferences of the candidate, the work may entail experimental investigations and/or modelling in the open-source computational fluid dynamics
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in the open-source computational fluid dynamics (CFD) code PDRFOAM. The work will be conducted in collaboration with other research projects on hydrogen safety at the department. The position offers a
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processes as droplets/condensates wet membrane compartments in cells. Numerical simulations and theoretical membrane models will be developed, aiming to couple viscous interfacial fluid flow, elastic
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the third and fourth years of the degree programmes, from spectral theory, groups and geometry to fluid mechanics and from mathematical ideas in biology to cosmology. Research funding in the department from
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include: fluid mechanics, biomechanics, statistics and data science, computational mathematics, combinatorics, partial differential equations, stochastics and risk, algebra, geometry, topology, operator
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the partnership, the Associate will develop the ability to: (i) model and predict fluid flow and system performance for large-scale systems; (ii) assess how different types of fouling may affect the membranes and