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critical, to ensure expected engine performance is achieved. To predict this complex flow and heat transfer, next-generation Computational Fluid Dynamics (CFD) solvers using Large-Eddy Simulation (LES) and
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, Artificial Intelligence in health and food systems. (Desirable) Very good laboratory skills encompassing cell culture, molecular biology, metagenomic sequencing technologies. (Desirable) Experience in handling
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molecular switches that could be targeted by anti-fibrotic drugs. You will master • genome editing, • human iPSC culture and directed differentiation, • live cell biomechanical imaging, and • multiomics
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, will be trained on simulation data to create dynamic, adaptive control systems that optimise operation in real-time across multiple variables. This research will deliver a validated roadmap to 60
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automation, and mission-critical communications. A key challenge in cell-free massive MIMO is maintaining high performance under dynamic channel conditions, hardware imperfections, and potential adversarial
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have or expect to obtain a first or upper second-class degree in a relevant subject from a UK university, or equivalent standard abroad. Prior research experience, for instance in molecular biology
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of Cambridge Department of Medicine Molecular Immunity Unit, housed within the MRC Laboratory of Molecular Biology. Shortlisted candidates will be invited to visit the institute to deliver a seminar and
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model of high-pressure mechanical seals. Apply Computational Fluid Dynamics (CFD): Simulate gas film flow within the microscopic seal gap. Couple CFD with Structural Models: Study the fluid-structure
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Establishment). Recent work by the group (leading to REF 4* rated outputs and several Keynotes) has contributed to bridging the gap between Computational Solid and Fluid Dynamics, with a unified computational
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to specified rules. A striking fact is that these systems can share common behaviour even when the local rules governing their dynamics are significantly different. This is an example of universality