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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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. This innovative approach aims to catalyse the large-scale adoption of circular and decentralised water solutions, working in combination with existing centralised legacy systems and services. What you would be
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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
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data acquisition, or lithium-ion battery degradation analysis. Familiarity with EV, energy storage systems, or smart energy technologies. Experience working with large datasets, data-driven modelling
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solar installations, generating new understanding to underpin future large scale deployment in environments such as the Celtic Sea. The successful applicant will work at the forefront of marine renewable
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ecology techniques (e.g. radio-tracking, animal handling, behavioural observation), geophysical and surveying techniques (e.g. ground-penetrating radar, relative GPS), working with big data, statistical
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CD3 is a new, multidisciplinary and multi-institutional strategic national research programme dedicated to using data to transform our understanding of cancer risk and enable early interception
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May 2026 For further information please email Professor Chris Gerada (University of Nottingham) and Will Pollitt (MTC). Facilities The MTC is an independent Research and Technology Organisation aimed
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regulatory obligations. Hydraulic simulators are physically detailed but computationally slow and calibration-intensive, limiting large-scale scenario exploration and optimisation. Purely data-driven
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Are you passionate about artificial intelligence, data analytics, and cutting-edge engineering applications? Join our interdisciplinary research team and contribute to the future of Non-Destructive