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Field
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-disciplinary project aims to investigate the impact of CF on peripheral and cerebral vasomotor function and determine associations with blood markers of inflammation/oxidative stress and with clinical care
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an important role in the efficient integration and management of solar energy in modern power systems. The studentship project aims to develop a novel PV forecasting model based on physics-informed neural
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Tim Green. Summary of Project: Oscillations induced by inverter-based resources (IBRs) like wind, solar photovoltaic, grid-scale batteries are a major concern for electricity grid operators
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assistants, PhD students, and/or project volunteers. What We Offer As an employer, we genuinely care about our employees’ wellbeing and this is reflected in the range of benefits that we offer including
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project aims to explore techniques that could facilitate experts in the elicitation of priorities. One possible direction could be to use the technique of Inverse Reinforcement Learning (IRL) [2], [3]. IRL
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abundancy). Protein identification methods are not easily translated into a point-of-care (POC) testing given the laborious, time-consuming and sophisticated nature of currently available techniques. A POC
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for Home Fees Status students. Contact The project will be supervised by Professor John Marsden, in collaboration with the Department of Health and Social Care. To express interest, please send a short
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Hours: Full time (with possibility of less than full time upon agreement with Programme Director and funder) Contract: Fixed-term for 3 years Location: Liverpool/Remote/Overseas (Global South) Fully
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Project details: Surface features are important in additively manufactured parts. While additive manufacturing technology has made great strides in the realisation of complex shapes, topologies and
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link for full details. Key duties and responsibilities Developing a research protocol, undertaking data collection, data analysis for the qualitative research Conduct and manage research and related