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or quantitative data analysis. • Basic computational or programming skills, or a willingness to engage with modelling and data-driven approaches. Strong communication skills, enthusiasm for interdisciplinary
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or quantitative data analysis. • Basic computational or programming skills, or a willingness to engage with modelling and data-driven approaches. Strong communication skills, enthusiasm for interdisciplinary
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trigger redesigns across multiple groups. The challenge is compounded by the fact that each discipline uses different data models and representations, making system-level interdependencies difficult
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studies, guide people through immersive experiences and collect behavioural and emotional data. Because of this, the project would suit someone who is confident in people-facing situations and enjoys
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studies, guide people through immersive experiences and collect behavioural and emotional data. Because of this, the project would suit someone who is confident in people-facing situations and enjoys
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resolution. This PhD offers the opportunity to conduct cutting-edge research with direct industrial impact, combining fundamental fluid mechanics with modern data-driven techniques. The successful candidate
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, self-starter, PhD student to run the follow up questionnaires and analyse the data. This offers an exceptional research opportunity to investigate the contribution of lifestyle factors, particularly
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the ergogenic aid. Further information: Applicants should have at least a 2:1 in a relevant degree (for example but not limited to Sport Science/Medicine/Rehab, Public Health, Medicine), and ideally a relevant
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Studentship Information Supervisor: Vinay Shukla Subject Area: Plant & Crop Science Research Title: Root oxygen dynamics and development Research Description: The student will be part of a
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strategy to improve the turbulence detection and quantification. The flow turbulence and velocity in a vascular flow phantom will be measured by Particle Image Velocimetry (PIV), against which MRI data will