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Start Date: Between 1 August 2026 and 1 July 2027 Introduction: Join a world-class research team tackling one of aviation’s greatest challenges: accelerating the design of innovative aircraft
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). Design and fabricate patterned surfaces optimised for enzyme immobilisation. Assess synergistic antibiofilm efficacy under static and dynamic (flow-based) biofilm models. Apply advanced microscopy, protein
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modelling framework to predict key thermal hydraulic parameters for boiling flows within complex geometries at high heat flux conditions, relevant to the engineering design of thermal management elements
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Students Project Description The NetZero Futures (NZF) Doctoral Landscape Award is a fully funded EPSRC studentship with the Royal College of Art. The strategic vision of NZF unites RCA-wide Art and Design
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develop AI-driven methods for optimising disease surveillance and intervention strategies in dynamic, real-world settings. We will design an active disease surveillance and control framework based on a
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frameworks that can maximise the performance, efficiency, and emissions reduction potential of such new fuels through intelligent design, modelling, and experimental validation. Research Objectives Investigate
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to use cutting edge techniques, developed in our lab, to design molecules which can control this protein complex. This chemical biology project will be interdisciplinary, involving training in
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for Materials Lab: Our research in thePhotochemistry for Materials team is situated at the interface of organic synthesis, photochemistry and polymer science with the overarching ambition to meticulously design
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their electrical design to accommodate new requirements for energy islands connecting to weaker grids and local loads. These energy islands may also need to operate islanded from the grid under some situations. Such
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computational design, Industry 4.0 integration, digital twins, and data-driven optimization to enhance manufacturing efficiency. Working closely with the NWCAM2 companies, this project aims to reduce waste, embed