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Field
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Exciting Fully Funded PhD: Computational Modelling for High-Pressure, Low-Carbon Storage Technologies. Be a Key Player in Shaping the Future of Clean Energy Storage! School of Mechanical, Aerospace
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on the application process, please contact the School's HR Team on mmllpersonnel@admin.cam.ac.uk . The closing date for applications is midnight (BST) on Sunday 15 June 2025. Click the 'Apply' button below to register
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control system that enhances Annual Energy Production (AEP), reduces mechanical stress, and improves fault detection using machine learning (ML) and physics-based modelling. The candidate will gain hands
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such as research communication, computing and data science, and professional progression through our Early Career Researcher Institute .Additionally, you will be expected to attend cohort and training
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of 92.5% lithium-7 and only 7.5% lithium-6. As the tritium breeder blanket requires 30 to 90% lithium-6 enrichment, an isotope enrichment process is required. More than 100 tonnes of isotopically pure
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and modelling techniques. Real-World Impact: Contribute to transformative technologies in clean energy and carbon capture. Future job opportunities: Digital modelling and computational fluid dynamics
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information from high-quality videos that share content with distorted footage as constraints in the learning process of modelling algorithms. This method uses the characteristics and knowledge embedded in high
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of interest, skills and previous experience, motivation for Doctoral Research, future goals, and why you are applying to this project. On the application system select Programme of Study – PhD Biology
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explore or optimise the flexible structures and manufacturing process of Litz wires. This studentship offers the opportunity for the PhD student to lead the development of innovative simulation tools
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the two triage methods. Yorkshire Ambulance Service NHS Trust is in the process of migrating from AMPDS to NHS Pathways, which presents a unique opportunity to determine which tool is the most appropriate