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from Deepfakes Project. We are looking for a software/machine learning engineer (or similar) to work in an interdisciplinary team reporting to Dr Sophie Nightingale (Principal Investigator). The Project
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of pain, injury, or any other physical dysfunction, through the use of education, exercise, manual therapy, electro-physical agents, technology or any other treatment for those purposes (Allied Health
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the supervision of Prof Amedeo Chiribiri within the Department of Cardiovascular Imaging, School of Biomedical Engineering & Imaging Sciences, King’s College London. About The Role Applicants should be medically
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partnerships are creating leaders in technology and management globally. Learn more about Cranfield and our unique impact here . Our Values and Commitments Our shared, stated values help to define who we are and
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successful applicant will have a range of skills, including some of the following: strong, independent research skills; a PhD, or close to completion, in engineering, computer science or related area; an
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Person Specification First degree in area of specialism and normally, a higher degree relevant to research area or equivalent qualifications (electrical engineering, energy systems, controls, and transport
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is looking for ambitious, talented academics with a passion for teaching as well as research flair to join its team of science and engineering experts. UNNC is part of the University of Nottingham’s
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25 Sep 2025 Job Information Organisation/Company CRANFIELD UNIVERSITY Research Field Chemistry Engineering Physics Chemistry Environmental science Geosciences Researcher Profile First Stage
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candidates with a background in civil engineering, preferably with experience in geotechnical physical, analytical and/or numerical modelling. You will be responsible for developing a simplified computational
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or supervising junior colleagues and contributing to team development. Desirable Prior experience in enzyme redesign, immune-related proteins, or computational protein engineering. Evidence of engagement with