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process efficiency improvements and enable prediction across scales for a given biological process. The PhD project will develop, construct and apply Machine Learning techniques to the process data
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higher education institutes and Sport Wales, aiming to boost research capacity and translate findings into policy and practice. The mission is to use the transformative power of physical activity and sport
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Faculty of Environment, Science and Economy This new part-time (0.1 FTE) post is available immediately on a fixed term basis until 31 August 2026. The role You will contribute to teaching in one
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their suitability, novel substrates and materials which can be combined with existing laboratory techniques. Ideally research would identify/develop substrates that can simulate the physical properties
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qualification in a relevant area would be desirable. Experience in qualitative research in areas relating to physical activity, dance and/or community studies Is essential. Applicants who have not been awarded a
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“interrupted” tests whereby the process is paused or slowed to allow information to be collected at a series of discrete time or load steps. This results in an estimated interpolation of events between capture
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motions of multiple human test subjects will form the basis of the validation process. The selected candidate will have the unique opportunity to develop expertise in HSI along with a multi-disciplinary
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system of appealing, age-appropriate moderate to vigorous physical activities for primary school children that class teachers can use in physical education (PE) classes or after-school clubs (Taylor et al
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the impact of beaver landscape modification on: physical and chemical characteristics of lowland English rivers, hydrological regimes in rivers in which abstraction takes place, diversity of thermal habitat
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simulation approaches to develop an innovative biohydrogen and biomethanol synthesis route based on PL’s hydrothermal gasification process. Switching to low-carbon fuels is one of the key building blocks