62 phd-computer-artificial-machine-human Fellowship positions at University of Nottingham
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the University’s international reputation as a hub for cutting-edge research. Candidates must have a PhD degree in Power Electronics, Machines, and Drives or a closely related field, with a proven track record in
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This is a theoretical/computational postdoctoral position for the prediction and development of point defects in two-dimensional materials for applications in quantum technologies. Project
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focusing on the use QM/MM simulations to study targeted covalent inhibition and approaches to accelerate quantum chemistry calculations on quantum computers. Candidates should have a PhD in computational
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We are looking for a motivated research fellow for an exciting MRC-JPIAMR funded project, titled FightAMR: Novel global One Health surveillance approach to fight AMR using Artificial Intelligence
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Applications are invited for a Research Associate/Fellow, based in the Institute of Mental Health (IMH), to work on the NIHR-funded Lived Experience Narratives in Dementia (LEND) programme. This is
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Group. The role will provide an opportunity to work across multiple projects within the realms of Artificial Intelligence and Digital Screening. The role holder will collaborate with cross-functional
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clinically translatable prototype of our ultra-thin imaging device. You will lead the technical development through to the first pre-clinical studies on ex vivo human pancreatic tissues, laying essential
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/ developing research profile and/ or respected national/ international profile in mixed methods around human-computer interaction PhD or equivalent in relevant subject area or the equivalent in professional
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close to completing) a PhD or equivalent experience in Psychology, Sociology, Anthropology, Health Sciences, Speech-Language Pathology, Audiology or another relevant subject area, and be experienced in a
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the School of Medicine. The group is internationally recognised for its work in the application of Artificial Intelligence (AI) and Digital Cancer Screening and collaborates with major NHS programmes, academic