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Field
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The research in this doctoral opportunity will investigate the relationship between material elastic and thermal properties by using high resolution digital imaging under dynamic loads. Digital image correlation is an effective tool to characterize material properties. The analysis of the images...
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If a member of staff would like to carry out a part-time (PT) PhD at HAU the following conditions apply. Staff wishing to carry out a PT PhD at HAU should follow the following procedure
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of the largest Statistics departments in the world, with a thriving PhD programme and a long-established reputation for research activity of the highest quality, enhancing both the PhD student experience and the
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the PhD student in high-performance computing, computer programming, applied mathematics, fluid mechanics, mathematical modelling and data analysis for large datasets -of the order of 100 Terabytes
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Applications are invited for a PhD studentship in the Department of Computer Science at City, University of London. The successful candidate will work on developing a novel AI-powered conversational
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. An optimisation tool has been developed that uses a genetic algorithm to optimise the location of BGI taking surface water flood risk reduction and the cost of different interventions into consideration. This PhD
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of international PhD fees payable (in 2025, £22,000 a year) An annual stipend (£19,237 per annum for 2024/25; TBC for 2025/26) Specified use This funding is available to an international student undertaking study in
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to talented prospective or mid-study students towards their PhD studies in Research and Development Management. Tenable period Up to three years (pro-rata for part-time students) Continuation of award
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provided with research space for the duration of the CDA, a local mentor, access to PhD and MPhil students, and matched seed funding for equipment to strengthen the CDA proposal. Applications (CV and cover
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exploitation, domestic abuse, modern slavery, mental illness and homelessness – affect policing. This PhD project will explore how individuals experiencing disadvantage and/or vulnerability interact with