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(IAA), a Research Assistant is required for a period of 6 months, full-time, to support the development and translation of an innovative non-thermal plasma (NTP) technology for sustainable water
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Andrew Minto ([email protected]). Entry Requirements: Candidates must have, or expect to obtain, a first class or upper second-class honours degree in Civil Engineering, or another closely aligned
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to obtain, undergraduate and preferably a postgraduate qualification in computer science, artificial intelligence, data science, environmental modelling, coastal engineering, geography, or a related
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intelligence, software engineering, geoinformatics, or a strongly quantitative geoscience discipline. Essential Experience of game development using engines such as Unity, evidenced through a portfolio of work
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This 3.5-year PhD project is fully funded by The Department of Mechanical and Aerospace Engineering; students who are eligible to pay tuition fees at the Home rate are eligible to apply
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Description Applications are invited for a fully funded PhD studentship in the School of Electrical and Electronic Engineering at the University of Sheffield, in collaboration with the Defence
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. Supervisory Team: The candidate will be supervised within the Division of Games Technology and Mathematics by Dr Paul Goodfellow, Dr Javad Zarrin and Dr Thomas Howson. Queries on this project should be directed
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, biomedical engineering, advanced image processing and machine learning. The studentship suits a candidate with a strong background in optometry, physics, engineering, computer science or a related discipline
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Research Group: Nanocomposites Project Overview We welcome a highly motivated PhD researcher with a background in chemistry, polymer science, materials science, chemical engineering, or a related discipline
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relevant subject area including; medical sciences, biomedical sciences, biomedical engineering, molecular biology, physiology, biochemistry or related disciplines. Scientific curiosity, strong communication