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Field
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scattering with computer modelling such as molecular dynamics simulations and AI-assisted data mining. The new technical capabilities will help bridge the current gap in biocide development, i.e., to link
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This PhD at Cranfield University explores the development of resilient, AI-enabled electronic systems capable of detecting faults and autonomously recovering from failures in real time. The project
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and Technology (CST) at the University of Cambridge. The goal of this PhD programme is to launch one "deceptive by design" project that combines the perspectives of human-computer interaction (HCI) and
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This PhD opportunity at Cranfield University invites candidates to pioneer research in embedding AI into electronic hardware to enhance security and trustworthiness in safety-critical systems
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Grid Solutions Ltd on behalf of GE Vernova. The project’s topic will revolve around advanced high-voltage power electronics design and control, addressing both academic and industry needs. HVDC
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Funding: School of Computer Science Studentship consisting of the award of fees, together with a tax-free maintenance grant of £20,780 per year for 3.5 years. Lead Supervisor’s full name & email
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techniques lack dynamic measurement capabilities and real-time feedback for therapeutic applications. Graphene’s tuneable electronic properties, further enhanced through nanoengineering, make it an ideal
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to join our team with a background in bio-instrumentation, electronics and biosensor (or similar). You will be part of a new and exciting project funded by the Gates Foundation. This project aims
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science, engineering, mathematics, or related subject) Proficiency in English (both oral and written) Essential to have strong foundations in computer systems through degree courses or equivalent work experience
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. Lead Supervisor’s full name & email address Prof Michael Rappolt, M.Rappolt@leeds.ac.uk Co-supervisor name(s) & email address(s) (optional) Dr. Arwen Tyler, A.I.I.Tyler@leeds.ac.uk Prof Brent Murray