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. The successful candidate will join a large and diverse group of researchers covering nuclear structure physics, nuclear astrophysics, applications of nuclear physics and nuclear theory. The candidate's programme
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programme This project focuses on the application of digital health technology to study the contribution of sleep and circadian disturbance to brain function, neuropsychiatric symptoms and behaviour in people
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Cormier and Woll). This is a fixed term contract up to Sept 2026. About you The successful applicant should have a PhD in a related area with a strong track record of publishing high quality research
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, charities, as well as other universities and research institutes across the UK and internationally. The overall programme of research will be jointly developed by Prof. Nophar Geifman and the person appointed
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individually, make a real difference. The role Applications are invited for a Research Fellow position to support the design of a predictive health management (PHM) module for a novel steer-by-wire system aimed
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integration into 999 services. About you We are looking for someone who: Has experience in applied health, social care or emergency services research. Can plan and carry out data collection using qualitative
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. An understanding of artificial intelligence (AI) algorithm development, particularly its application in animal behaviour, precision livestock farming. How to apply If this opportunity interests you, please submit a
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++, Matlab or ROS would be of benefit. The project involves extensive fieldwork, and candidates should enjoy working outdoors. How to apply Please submit a CV and cover letter with your application
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complete the application form evidencing your skills and experience against the essential criteria required for the role and attach your CV. Further information Informal enquiries about this vacancy can be
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individually, make a real difference. The role We are seeking qualified applicants for a position as Language Data Scientist on the ERC Synergy grant ‘NILOMORPH: The evolution of suprasegmental morphology in