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control performance and efficiency. This PhD project focuses on data-driven analysis of confined liquids structure, informed by total neutron scattering. The emphasis is on developing new analysis
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or international meetings and interact with industrial project partners. For further details, and to apply, please contact Dr. Michael James with a CV: michael.james@manchester.ac.uk For more information about the
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real-world application. The student will receive broad training in synthesis, catalysis, and molecular design within a highly collaborative academic and industrial setting. For more information on the
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the challenge of forever chemicals in drinking water. The aim of this research is to develop a smart data predictive model that will support utilities’ evidence-based decision-making to improve the resilience and
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group, including PhD and MSc and honours project students. You will also be heavily involved with data analysis and writing up manuscripts. Please see the below 'Job Description' for further details
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reliable transmission of demanding multi-modal data such as haptic feedback, video, and 3D sensing data. This project will develop AI-driven predictive network intelligence to anticipate delay and network
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and hence open to UK nationals and those of equivalent status. [More information here ]. Applicants that do not meet UK home fees requirements are also encouraged to apply for this position, however
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trigger redesigns across multiple groups. The challenge is compounded by the fact that each discipline uses different data models and representations, making system-level interdependencies difficult
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What’s the Project About? Speech is a highly variable signal that is often recorded in complex environments and under sub-optimal conditions. The information contained in a recorded speech signal is
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quantum mechanical calculations with continuum micromagnetic theory to bridge atomic and macroscopic length scales. Developing a predictive, fundamental theory linking stress to measurable magnetic signals