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foundational questions. To benefit from this revolution in full, it is of utmost importance to influence the related development with a highly ambitious scientific programme underpinned by robust Exascale-ready
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of innovative computational methods using Big Data, Behavioural Science and Machine Learning to understand behaviour through the lens of digital footprint/“smart data” datasets, cutting across sectors ranging
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exercise science, human nutrition, human physiology, biochemistry, food science or a related subject. A relevant Master’s degree and/or experience in one or more of the above subjects will be an advantage
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of Science and Technology (proud member of the Alan Turing University Network) and be supervised by leading experts in machine learning for healthcare. You will also be affiliated to the School of Health
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, adapting existing and developing new research methodologies, as well as contributing to ideas for new research projects. You will hold (or be close to completion of) a PhD/DPhil in a Social Science
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the MMI apparatus, gaining knowledge of, for example, molecular and atomic beams, ultra-high vacuum systems, cryogenic technologies and a range of measurement and surface science techniques. They will also
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, adapting existing and developing new research methodologies, as well as contributing to ideas for new research projects. You will hold (or be close to completion of) a PhD/DPhil in a Social Science
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Computer Science, Data Science, Machine Learning, or an Engineering/Science discipline with a data science/analytics component. To apply, submit a CV, cover letter, and academic transcripts to j.carroll@strath.ac.uk
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Partnership at the University of Cambridge. This programme is a collaboration between industry and academia, now in the final 24 months of a 60-month effort. The programme integrates research and innovation
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-subsaturated air (but where no contrail was formed). Research Associate: Hold a PhD in Aerospace Engineering, Atmospheric Science, Physics, or a closely related discipline*, or equivalent research, industrial