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outputs for publication in medical journals. Master cutting-edge laboratory assessments of health and imaging using 3 Tesla MRI scanning to investigate skeletal muscle and energy metabolism biomarkers
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Advert title: A randomised controlled trial into the effectiveness of the behavioural change and weight reduction programme via the Slimpod app: brain and psychological adaptations Project advert An
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(including Computer Science, Physics, Maths, Engineering) Knowledge of modern machine learning techniques and experience with coding in Python is beneficial (but not a strong requirement) Applicants whose
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. What the research involves: The project work will involve deliberately contaminating engineering alloy plates with varying quantities of contaminants such as copper or zinc. Single-pass welds will be
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are part of the programme. The research is funded by the Centre of Propulsion and Thermal Engineering at Cranfield University. The work will be conducted at the Cranfield icing wind tunnel (IWT) based
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to support identification of such deepfakes. Using a mixed-method methodology and eye-tracking technology, we will investigate whether people can reliably identify deepfakes (face images and video clips), what
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, Electronic Engineering, Computer Science, Natural Sciences, although we are open to any enthusiastic applicant with a science-related background.
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, engineers, and the general public Qualifications Research Assistant Degree in engineering or numerate subject (e.g., mathematics, physical sciences, computer science) PhD close to completion in field of Power
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Research theme: Applied Mathematics, Continuum Mechanics, Liquid Crystals Application deadline: All year round The successful candidate will join the PhD programme of the Department of Mathematics
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or sensor arrays. Experience generating, processing and analysing large material property datasets including correlating between multiple techniques, or developing computational reconstruction techniques