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into standardized features. Transformer-Based Risk Prediction: A central component of this project involves developing your own time-aware transformer model. This predictive back-end will be trained on world-leading
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implant failure and limb amputation. Current antimicrobial coatings often rely on antibiotics or metallic agents, which may contribute to antimicrobial resistance (AMR) or cytotoxicity. This project aims
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). Design and fabricate patterned surfaces optimised for enzyme immobilisation. Assess synergistic antibiofilm efficacy under static and dynamic (flow-based) biofilm models. Apply advanced microscopy, protein
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modelling and technical innovations in the field of laser-based advanced manufacturing and synthesis of new materials. For the DED-LB additive manufacturing, the lab has a house-developed Laser-Kuka cell with
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, storm activity, and other hazards using graph-based clustering, fuzzy machine learning, and reduced-order models – delivering scientific insight into where and when rerouting is needed. Real-Time Decision
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allowance of £20,780 (2025/26 UKRI rate). Additional project costs will also be provided. Overview The state-of-the-art in computer-aided drug design is physics-based modelling, in which candidate drugs and
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recombination, maintaining genetic linkage of toxin/antitoxin-like systems. As a result, these chromosomes accumulate deleterious mutations that are unaccounted for in existing gene drive models. The student will
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, encompassing advanced geospatial analysis, remote sensing methods, atmospheric transport modelling, and epidemiological data integration. The researcher will also receive guidance in handling large datasets
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, centralised, ‘move-fast-and-break-things’ model which dominates. Models of frugal, responsible and open innovation have been proposed and enthusiastically taken up to make innovations more just and societally
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Start Date: Between 1 August 2026 and 1 July 2027 Introduction: This project fuses machine learning (ML) based inverse design approaches and topology optimisation (TO) to realise multiscale