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contain enough physical understanding of deformation and failure behaviour to provide insight into how processing affects the final response. This project will address this problem through a combination of
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will be to shortcut the current search process in classify crystallographic orientation. This will be built upon where machine learning algorithms will be developed to extract material elasticity
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sequencing (a process termed next generation phage display, NGPD). The studentship will apply NGPD to target cell surface GAGs from breast cancer cell populations, identify specific binders, clone and express
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Application Process To be considered for this PhD, please complete the strategic Joint Studentship application form available online here . Please upload an anonymised CV and cover letter as part of the online
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methods Switchable catalysis for pharma Sustainable additives for construction Smarter Synthesis via process intensification All Projects will all be informed by Life Cycle Assessments (LCA) and will
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awarded a first class or 2.1 honours degree (or equivalent if from other EU countries) in materials science, chemistry, physics, chemical engineering, mechanical engineering, manufacturing, or a relevant
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@exmail.nottingham.ac.uk. Any queries regarding the application process should be addressed to [email protected]. Interview Date: Week commencing 17th June 2024. Start Date: 01/12/2024 or as soon as
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the areas of power electronic systems, power systems, physics, mathematical modelling or software development is required. The PhD is offered jointly by the George Green Institute for Electromagnetic Research
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provide evidence before the beginning of the studentship that they meet the University minimum English Language requirements (IELTS 6.0 with at least 5.5 in each element). Application Process Please review