448 assistant-professor-computer-science-data-"https:"-"https:"-"https:"-"https:" positions at University of Sheffield
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results in limited productivity improvements across the sector. By leveraging generative AI to create synthetic data, assist annotation, and extract features, the training overhead and lifecycle costs can
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aerospace fleet, containing data from hundreds of engines over many years of operation. Models will be extended by investigating generative approaches suited to complex, multi-modal engineering data. You will
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of programme level approach in the School and contributing to the strategic development of the portfolio. This will involve coordinating high quality and consistent programme and module information in various
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and analysis of information and data to assist with management decision making and ensure accurate and timely regular reports. Be a point of contact for student queries, providing detailed information
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experience Essential Application/interview Highly computer literate with excellent communication skills (both written and verbal) and adaptability in your approach working with colleagues at all levels
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Funded PhD studentship in AI-assisted materials discovery at the UK National Epitaxy Facility School of Electrical and Electronic Engineering PhD Research Project Competition Funded UK Students
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Automatization and Digital Enhancement of Characterisation Techniques: Joining the Dots between AI, Machine Learning and Materials Advances
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engineering, material engineering or applied physics. The successful candidate will have: -Strong background in solid mechanics and engineering mathematics -Strong interests in computational work and laboratory
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apprenticeship and/or training programme, or equivalent practical experience. Essential Application Hands-on engineering experience, with a proven track record of involvement in both design and machining work
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series of qualitative and quantitative methods were used resulting in a significant data set which has informed a series of academic papers and reports. The team is now moving to the final output