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challenge of our time, and it is more urgent than ever to act fast on reducing greenhouse gas emissions from current chemical manufacturing processes. Plasma technology provides a sustainable, fossil fuel
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composites To propagate uncertainty in material behaviour through these models using uncertainty quantification/machine-learning (UQ/ML) algorithms To optimise the manufacturing process with the help
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harness advanced techniques such as machine learning, optimization algorithms, and sensitivity analysis to automate and enhance the mode selection process. The result will be a scalable methodology that
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Project Supervisor - Professor Rudy Lapeer The Birth4Cast “Digital Twin” aims to create a subject-specific computational biomechanics simulator of childbirth from prenatal fetal MRI scans
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-funded 3.5-year PhD scholarship for Home and Overseas students. You can apply for a PhD on the topic “Digital Trust in the Computing Continuum: Trustworthy Path Agility for Computing Continuum transactions
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to guide conservation under accelerating climate change. This PhD project will therefore integrate climate data with physiological and behavioural systems, by creating a digital twin framework that
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, they can utilise temporal and spatial diversity whilst simultaneously exploiting shared, intelligent adaptive signal processing whose combined performance and resilience can easily exceed that of the sum
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Standards. Deep understanding of aircraft design and certification processes. Opportunities to collaborate with NASA, Airbus, and other global leaders. Present your research at top international conferences
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PhD studentship in Bio-electronics – Localising invisible breast cancers during surgery Award Summary 100% fees covered, and a minimum tax-free annual living allowance of £20,780 (2025/26 UKRI rate
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diagnoses annually. Surgery (lumpectomy or mastectomy) is the best line of treatment. To enable surgeons to identify the cancer tissue, radiologists insert a localisation device (RFID, magnetic seed