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PhD Studentship: Artificial Intelligence for Building Performance – Optimising Low-Pressure Airtightness Testing Supervisors: Dr Christopher Wood (Faculty of Engineering) and Dr Grazziela Figueredo
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PhD studentship: Improving reliability of medical processes using system modelling and Artificial Intelligence techniques Supervised by: Rasa Remenyte-Prescott (Faculty of Engineering, Resilience
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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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these advanced systems still rely on old technologies based on standard glass lenses and components which are bulky and have limited capabilities. Metamaterials are artificial materials that use digitally-arranged
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these advanced systems still rely on old technologies based on standard glass lenses and components which are bulky and have limited capabilities. Metamaterials are artificial materials that use digitally-arranged
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and its stakeholders. You should hold a Master’s or PhD (desirable) in Computer Science, Artificial Intelligence, Machine Learning or a closely related field. We are looking for a candidate who has
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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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opportunities for collaboration. About You The candidate must have obtained a PhD degree within 3 years and in the areas of Applied Psychology, Management, Statistics, Artificial Intelligence; Excellent oral and
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the formation of biofilms and the development of processes to formulate / process them into new health/consumer care products e.g. oral/skin health products. The project will focus upon extending UoN patented
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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