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BACKGROUND This is a research project taken in the Digital Manufacturing Lab led by Prof. Charlie Wang. The project aims to a computational kernel to effectively generate optimised structure and
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computational, molecular and biophysical techniques. During the project you will design the methodology for, and perform the directed evolution of H-transfer enzymes using parallel selection methods, measure
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this field, particularly in areas such as asset pricing, investments, derivatives, corporate finance, quantitative methods and financial econometrics. Alliance Manchester Business School is interested in
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methods for causality as applied to healthcare. At University of Manchester, our focus in the hub is on how we can develop and apply causal inference for decision support. Therefore, we are interested in
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essential for this role, as will experience of qualitative research methods. The postholder will work with Professor Paul Wilson, Dr Laura Sheard and other members of the NIHR ARC team and will be based in
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of Manchester. You will join a team of probabilistic modellers and machine learning researchers developing new collaborative AI principles and methods. This is an exciting topic which inspires new problems in
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testing, numerical modelling, and machine learning (ML) aided design approach will be adopted, utilising the respective expertise in Brazil (testing and wind tower design experience) and the UK (modelling
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research, epidemiology, health economics, safety science, digital patient safety solutions, health informatics, intervention development and evaluation. We have a genuine commitment to equality
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mixed methods to understand how and why the identified initiatives were successful and what lessons they may hold for the wider region and the UK. The role may also include participatory action research
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or shaping performance in a way that genuinely made things better for users: smoother processes, clearer journeys, more meaningful outcomes. · You know the tools, methods and frameworks for service improvement