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in particle simulation, experimental design, high-performance computing, pharmaceutical manufacturing and predictive modelling; preparing you for a career in pharmaceutical, digital manufacturing and
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The University The University of Cambridge is one of the world's leading academic institutions, renowned for its excellence in education, research, and innovation. For nearly 800 years, we've been
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are invited for a fully-funded Industrial Doctoral Landscape Award, offered in partnership with Rolls-Royce, to tackle key challenges in the design of aeroengine oil systems using multiphase Computational Fluid
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applicant would undertake a relevant master's degree, such as: MA Politics MPP Master of Public Policy The UK’s Carbon Budget and Growth Delivery Plan sets out a range of industry specific initiatives
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design and situate research in broader literature. To use a realist approach to conduct semi-structured interviews to develop a programme theory to ascertain why, how, in what contexts, for whom and to
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functions. This project will investigate their potential through three key research objectives: 1. To develop automated design workflows for nanomagnetic devices by combining micromagnetic simulations with
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that extract material properties or defect information from measurements. You will work across the full research pipeline: running large-scale ultrasound simulations to generate rich training datasets, designing
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, or related areas. Experience with programming in Python and/or MATLAB. Excellent analytical, problem-solving, and communication skills. A genuine enthusiasm for research and innovation. What We Offer
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The University The University of Cambridge is one of the world's leading academic institutions, renowned for its excellence in education, research, and innovation. For nearly 800 years, we've been
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of predictive models that link microstructure to performance, guiding the design of alloys that are stronger, more reliable, and more efficient. By doing so, you will play a key role in advancing hydrogen turbine