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Field
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material properties affect dimensional accuracy and aerodynamic behaviour, ultimately improving the reliability of aerodynamic testing. The project combines additive manufacturing, data analytics and fluid
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undertake a 3-month internship at SatSense, receiving training in operational processing systems, industry-standard EO analytics, and product validation workflows. Useful recruitment links: For information
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PhD studentship in Computational Chemistry – Training force fields for computer-aided drug design with machine learning. Award Summary 100% fees covered, and a minimum tax-free annual living
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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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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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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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. Geotechnical site investigations (SI) may cost up to £500,000 per borehole, introducing significant financial and scheduling risks. Suboptimal data collection can increase costs, require additional surveys, and
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. Geotechnical site investigations (SI) may cost up to £500,000 per borehole, introducing significant financial and scheduling risks. Suboptimal data collection can increase costs, require additional surveys, and
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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