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Field
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infrastructure. For reduced (CapEx) costs, greater flexibility and faster evolution, mobile core/radio network functions today are largely realised in software over commodity computing hardware in private/public
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, which are prone to failure under extreme rotational stresses. This project responds to industrial demand—highlighted by Aerospace and power generation companies—to develop robust methodologies
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We are seeking a highly motivated PhD student with a strong scientific background and a desire to develop interdisciplinary research skills to join a cutting-edge project at the intersection
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treatments. To date, there are few techniques that integrate AI and digital twins to improve patient outcomes. Your Role In this project, you will develop new methods that combine AI and digital twins
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Funding Source: Warwick Industrial Fellowship (WIF) Sponsor Company: Thomas Swan & Co Ltd Start Date: 1/10/2025 Project Overview The project focuses on the development of sustainable chemistries
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the formation of biofilms and the development of processes to formulate / process them into new health/consumer care products e.g. oral/skin health products. The project will focus upon extending UoN patented
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Lead Supervisor name: Professor Katherine Appleton, email: k.appleton@bournemouth.ac.uk Project description Aims: This project aims to use a systematic approach to design, develop and test novel
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simulation study of light matter interaction, digital twin enabled process development and life cycle assessment will be researched. Opens: Immediately Deadline: 08/08/2025. Duration: 36 months Funding: Funded
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, and adjusting on the fly. That’s exactly the kind of capability we want LLMs to develop. Join the Next Leap in AI Learning This project offers a new pathway to grow AI intelligence—one that builds
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the formation of biofilms and the development of processes to formulate / process them into new health/consumer care products e.g. oral/skin health products. The project will focus upon extending UoN patented