114 computer-programmer-"https:" "https:" "UNIS" "https:" "https:" "https:" "https:" uni jobs at University of Liverpool
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will realise a programme of work to automate a number of legal processes and build tools involving AI technologies related to Machine Learning, Natural Language Processing, Neurosymbolic Computing and
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expected to develop an internationally competitive programme of research in the broad area of maternal and perinatal health. They will be expected to collaborate with the wider research team in
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This 3-year residency programme is supported by and based in the Philip Leverhulme Equine Hospital (PLEH) at the University of Liverpool¿s Leahurst Campus on The Wirral. The PLEH is a large, well
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within a complex organisation, with a proven ability to lead teams, manage budgets and deliver maintenance programmes across varied building types. Strong knowledge of building fabric, statutory compliance
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the Universitys central procurement function in line with its Strategic Plan and management priorities. You will take the lead on procurement initiatives for goods, works, or services as assigned, with
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the Universitys central procurement function in line with its Strategic Plan and management priorities. You will take the lead on procurement initiatives for goods, works, or services as assigned, with
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Strategic Change is working in partnership with Senior Leaders to deliver a number of projects and programmes in support of Liverpool 2031 and other strategic priorities and has an exciting
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of specialists in Oral Medicine and their academic work will be aligned with the internationally renowned Liverpool Head and Neck Centre. Academic Training: The academic component of the programme will be overseen
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We are seeking a Research Associate to work on ALGeNeM, a project developing learning systems that integrate generative molecular design with automated experimentation for drug discovery. You will contribute to AI/ML methods (e.g., generative design and active learning), robust software and data...
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The School of Computer Science and Informatics is seeking to appoint an individual to work on rigorous methods to address the risks of generative AI systems. The primary focus will be on techniques