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candidate will receive an annual tax-free stipend set at the UKRI rate (£20,780 for 2025/26; subject to annual uplift), and tuition fees will be paid. Understanding and predicting fluid flow is essential
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for fusion components. This framework foresees two building blocks: high-fidelity Computational Fluid Dynamics (CFD) simulations of boiling flows within complex geometry using opensource software and cutting
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of two-dimensional quantum fluids such as superfluid helium and Bose–Einstein condensates. This PhD forms part of an international research project in collaboration with theoreticians at the University
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electrochemical flow technologies, such as redox flow batteries, multivalent metal ion batteries and/or capacitive deionisation. Such technologies are emerging as promising more-sustainable solutions for the global
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combined with tomographic tracking velocimetry to study flow and in situ interactions with seaweed and epibenthic invertebrates in a variety of wave and tidal conditions. These experiments will be used
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with anaemia. Cheap, scalable routes to produce glycoprotein biotherapeutics are therefore needed. In this project, we will explore contemporary preparative approaches based on flow chemistry
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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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processes. Small oceanic flows on the 1-10 km range (submesoscale) have attracted lots of attention for their role in heat mixing, energy transfer, and air-sea interactions. They have been related to a
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the North Atlantic jet stream is critical, but distinct knowledge gaps remain about how it drives joint hazards (e.g. its waviness, temporal evolution). Also, the origin of triplets (i.e. >2 events in a
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Location: Central Cambridge A position exists, for a Research Assistant/Associate in the Department of Engineering, to work on non-equilibrium turbulent flows over rough walls. The post holder will