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-month project within mental health research using a neuroscience or social science approach. The successful candidate will join a vibrant community of postgraduate researchers and will benefit from
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Job Purpose Within a clear and established teaching programme, contribute to the delivery of an excellent student experience by undertaking a range of teaching, assessment and administrative duties, principally at undergraduate level, to further the understanding of key course topics and assist...
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24 Apr 2024 Job Information Organisation/Company Swansea University Department Central Research Field Computer science » Other Researcher Profile First Stage Researcher (R1) Country United Kingdom
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White Rose Social Sciences Doctoral Training Partnership ESRC PhD Studentships 2024-25 White Rose Social Science Doctoral Training Centre ESRC Doctoral Training Partnership Funding Available UK/EU
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Type of award Studentship Managing department School of Social Sciences Value Tuition fees An annual maintenance stipend (£18,622 per annum for 2023/24) A research training support grant Specified
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competitive basis. Funding provider ESRC North West Social Sciences Doctoral Training Partnership Level(s) of study This funding is available to students undertaking the following types of study: Postgraduate
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Funding providers: EPSRC and Swansea University's Faculty of Science and Engineering Subject areas: Computational mechanics; Engineering simulation Project start date: 1 October 2024 (Enrolment open
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Supervisory Team: Hywel Morgan, Dan Spencer and Franklin Nobrega (Biological Sciences) PhD Supervisor: Hywel Morgan Project description: Antimicrobial resistance is predicted to become a primary
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. The engineering challenges are to provide users with the controls they would like to have in order to adjust the behaviour of their audio system, for example, boosting the bass response interacting with the room
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-structure modelling challenges within this field. In addition, AI technology will play a crucial role as a supportive tool, contributing to more efficient and accurate turbulence modelling. We are actively