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Field
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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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leverage low-precision accelerators for scientific computing by using a number of tricks, known as "mixed-precision" algorithms. Developing such algorithms is far from trivial. We can look at computational
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Resilience (WIRe) , a prestigious collaboration between Cranfield University, the University of Sheffield, and Newcastle University. The WIRe programme offers bespoke training that hones both technical and
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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
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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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a number of health and wellbeing initiatives to support you. Closing Date: 30 July 2025 As part of the SAFELUX project, we are leading a transnational programme of research funded by the Conference
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-year studentship will be hosted within the Pharmacy programme (Grove Building, Singleton Campus), in collaboration with the Centre for Nanohealth (the Institute of Life Science 2, Singleton Campus
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. Applicants should have, or expect to achieve, at least a 2.1 honors degree or a master’s (or international equivalent) in a relevant science or engineering related discipline. We are looking for a highly
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not sufficiently understood. This involves complex physics at the interface of plasma physics, shock physics, material science and thermodynamics. The objective of this project is the computational
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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