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Field
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qualification. Background knowledge and experience in engineering and computer science disciplines and in areas such as CFD post-processing (OpenFOAM), wind turbine renewable energy systems, big data management
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communication is interrupted, such as during disaster recovery, in remote industrial sites, or for temporary large-scale events, fixed infrastructure is either unavailable or easily damaged, creating "blind spots
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, Grobelnik M, Fuart F, Stopar L, Epelde G, Fischaber S, Poliwoda P, Rankin D, Wallace J, Black M, Bond R. Meaningful big data integration for a global COVID-19 strategy. IEEE Computational Intelligence
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Health emergencies, mass casualty events and disasters generate large volumes of operational, clinical and organisational data. However, these data are rarely synthesised into structured, analysable
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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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. Your academic CV (no longer than 2 pages) that includes information on your research and teaching and/or professional practice experience and achievements. Personal statement (no longer than 1 page
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within livestock environments contains a wealth of information about animal behaviour, health and emotional state, yet it remains relatively under-utilised in commercial dairy systems. This PhD will
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efficient interpretation of LiDAR data. The project will make use of high-performance computing facilities to support large-scale simulations and ensemble-based uncertainty quantification. A key innovation of
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efficient, mature technology, yet it requires high temperatures and has a large carbon footprint. This PhD project addresses a key challenge: efficiently producing bio-methanol from abundant, high-moisture
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techniques employed include high-throughput cell based screening, flow cytometry and preclinical treatment models. Informatic approaches include data mining and manipulation of large pharmacogenomic matrices