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computational mechanics, machine learning, and data analytics workflows. For more information on the facilities, a virtual tour is available. The dynamic group (>20 PGR students and Research Staff) leverages
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, research and students’ employability. It has an active programme of internationally recognized research in Pure Mathematics, Mathematical and Theoretical Particle Physics, Applied Mathematics, Statistics
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single-mode optical fibre. Investigation of machine learning tools for micro-optics design. If you have an interest in photonics, quantum technology, and computer-based modelling, you would be highly
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would affect particle dispersion. • Share the new knowledge through publications with the wider scientific community. What will you Learn The main objectives of this project are: • Characterisation
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required to induce unstable growth, the natural frequency and oscillation dynamics under ultrasonic irradiation, and their jetting collapse dynamics. You will learn how to set up, run, and post-process large
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yield stringent constraints on general new physics models. The PhD project will involve heavily data analysis, statistics, advanced analytical classification methods and possibly machine learning. The PhD
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. This will involve taking a lead role in developing dedicated software frameworks, including the implementation of machine learning techniques. Ultimately, the software will be used to process and analyse
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aim of this project is to use Industry 4.0 technologies including machine learning and artificial intelligence (AI) to develop digital and soft sensors to predict product properties and optimise process
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. The templates will be made from the self-assembly of regular spherical particles spread as a suspension continuously onto a moving substrate. The PhD will develop methods to observe the self-assembly process, and
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increases commute times, CO2 emissions, and the incidence of car accidents. These drastically decrease the quality of life and well-being of a population. This PhD project aims to improve the way modern