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-class research programme at the interface of human genomics, computational biology and evolutionary population genetics to understand the molecular and evolutionary processes that generate diversity
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processes. This studentship is fully funded by the M3 4Impact programme, a £9 million Expanding Excellence in England (E3) grant. The successful candidate will be a part of a dynamically-growing research
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. To liaise with research colleagues and make internal and external contacts to develop knowledge and understanding to form relationships for future research collaboration. To plan and manage own research
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Project Title: Will vary dependent on successful applicant Applications are invited for a full time PhD (via MPhil) studentship in Astrophysics in the Jeremiah Horrocks Institute. The studentship is tenable for 3.5 years full-time (subject to satisfactory progress) and will cover the cost of...
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In this PhD you will help explore a new trajectory for AI research, EVE - everyone virtuoso everyday - to succinctly summarise the drive of the work. That is, we are interested in defining and evaluating a class of AI technology that enable expressive, individual and masterful interactions, like...
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portfolio of entrepreneurship programmes including: Ingenuity Impact, the Ingenuity Lab, Your Entrepreneurs Scheme (YES) and the Witty Entrepreneurial Scholarship Programme. The team sits in the Haydn Green
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platforms). The candidates should have a collaborative mindset in teaching and teaching development across the faculty of the Department of Computer Science as well as other (interdisciplinary) programmes
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Impact, the Ingenuity Lab, Your Entrepreneurs Scheme (YES) and the Witty Entrepreneurial Scholarship Programme. The team sits in the Haydn Green Institute of Innovation and Entrepreneurship (HGI) and we
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Sustainability Assessment for Next-Generation Biorefineries.” The project aims to accelerate the design of sustainable biorefineries by leveraging computational biology and artificial intelligence to optimise
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leveraging computational biology and artificial intelligence to optimise microbial strain engineering and bioprocess strategies for converting agro-industrial residues into high-value chemicals. The successful