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Project title: Modelling the Role of Hard Particles in Hard Facing Alloys Supervisory Team: Robert Wood, Georges Limbert and Dave Stewart (RRSL) Project description: Hard facing alloys, such as
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biological activity and toxicity. While complex machine learning algorithms such as Deep Learning and Random Forest have been shown to deliver good prediction performance, they yield so-called “black-box
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Supervisory Team: Robert Wood, Georges Limbert and Dave Stewart (RRSL) Project description Hard facing alloys, such as those used in nuclear power plant, are composite materials comprising carbides
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supervisor Prof Mel Woods The city as Living Lab - Novel monitoring and machine-learning based modelling of trees for the bioengineering of the urban environment.docx – contact lead supervisor Dr Matteo
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., from kelp forests) and stacks of ecosystems services (sets of associated services that appear together repeatedly across space and/or time) through systematic literature review for one or more case study
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of goods from outside Europe into English homes. These included Indian cotton (calico) and silks, Chinese porcelain, and exotic woods. In addition, objects associated with the consumption of global