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Details The aim of this project is to combine nanomechanical methods with modelling (i) to develop quantitative, predictive models for the behaviour of molecules in sliding contacts, and (ii) to understand
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, collaborated with more than 125 external partners, and received grants from 39 funders. Our expertise include database development, computational ontologies, natural language processing, computational
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concern. According to the World Health Organization (https://www.who.int/news-room/fact-sheets/detail/antimicrobial-resistance), bacterial AMR alone was directly responsible for 1.27 million global deaths
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environmental performance. Advanced modelling and comparative assessments will identify optimum systems combination leading to a resource efficient outcome. A new model and framework will be developed
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reliably stratify patients based on their fracture risk. The position is funded as part of Horizon 2020 European Project (https://www.metastraproject.eu/ ) that aims to provide a combination of models
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intelligent sensing, followed by detection of the important events.In the light of autonomous decision making, the project aims at developing machine learning algorithms for knowledge extraction from data
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FAST-TRACK – Fast Alloy Screening for Next Generation Aerospace Superalloy Development EPSRC CDT in Developing National Capability for Materials 4.0, with the Henry Royce Institute PhD Research
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Hypersonics Doctoral Network, which has been supported by the Ministry of Defence and EPSRC for building the necessary expertise to develop next-generation hypersonic vehicles. This offers a fully funded 4
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makes handling and transportation hazardous. The development of safer materials is critical, with efforts focused on enhancing safety without compromising on performance. Alongside this, there is a
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of Sheffield Financial contacts and Head of Service Plan and prepare documentation to meet key financial deadlines; financial year end and submission of financial claims for DSA to UKRI Collaborate with