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profiles using energy modelling tools • Build thermo-fluid dynamic models of HVAC and district cooling networks • Propose improved system architectures and network efficiency strategies • Design and validate
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dynamics and wall interaction phenomena Implement AI/ML models and multiscale coupling procedures to bridge the lattice Boltzmann codes with a two-fluid Eulerian macroscopic code Co-development of codes
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methods § Skilled in modeling electro-optical nano-systems to predict properties and fluid dynamics. § Highly skilled in multiple scripting languages, including MATLAB, Python, Optiwave (FDTD), COMSOL
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, including deep neural networks and physics-informed neural networks, to analyse large datasets from gyrokinetic and fluid simulations of plasma turbulence Develop and train reduced-order models that capture
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provides opportunities for participation in workshops, conferences and joint dissemination efforts. About you You will have, or be close to completing, a PhD in aeroacoustics, acoustics, fluid dynamics
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provides opportunities for participation in workshops, conferences and joint dissemination efforts. About you You will have, or be close to completing, a PhD in aeroacoustics, acoustics, fluid dynamics
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The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE
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biospecimen collections, including pancreatic tissue, cyst fluid, and serum samples from a large clinical biobank. Perform proteomic and molecular profiling to identify and validate biomarkers associated with
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computational fluid dynamics. This full-time role will be based at Exeter’s flagship Living Systems Institute. The successful applicant will develop new approaches to studying the behaviour of single-celled
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-generation carriers. A major limitation remains the incomplete understanding of nanoparticle assembly and disassembly under diverse physiological conditions (e.g., extracellular fluids, endosomal compartments