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Field
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This PhD project will focus on developing, evaluating, and demonstrating advanced data analytics solutions to a big data problem from aerospace or manufacturing system to uncover hidden patens
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intermediate between the algebraic geometry of algebraic varieties (which deals with polynomial equations only) and analytic geometry (which allows more general analytic functions). Applicants should have some
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prepare the candidate for careers in academia, environmental consultancy, conservation, and resource management. Person specification We seek a motivated candidate with strong analytical skills, and
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. Research Methodology: Representative samples and field structural data will be collected from a number of accessible sites across the Cornubian batholith. Discrete samples will be fully characterised
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Three 3.5 year PhD studentships in artificial intelligence in medicine or health data science funded by the National Institute for Health Research UCL UCLH Biomedical Research Centre are available
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research agenda. The student will join the State of Wildfires Project (https://stateofwildfires.com/ ) at UEA, receiving advanced training in satellite data analysis, machine learning, and climate and fire
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fluctuate across tidal to seasonal timescales, as existing data consists primarily of isolated measurements. Understanding coastal Ca²⁺ and Mg²⁺ dynamics across ecological timescales is crucial for advancing
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data, you will develop an AI-driven optimisation framework to identify where such interventions can deliver the greatest combined benefits for people and the environment. The research combines urban
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, despite its widespread application, polygraph data capture and analysis has received limited systematic research and does not yet incorporate modern sensors, computing and analytical techniques. Project
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We are recruiting a PhD student to integrate data-driven methods with NMR spectroscopy to enhance the characterisation of cell culture media and metabolites, increasing throughput and reducing