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-service involvement, develop typologies of need, and uncover spatial and temporal trends. Combining data science techniques with stakeholder engagement, the project aims to generate actionable insights
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Research Studentship in DPhil in Engineering Science Industrial Doctoral Landscape Award (IDLA) in Gas Turbine Heat Management. 4 year D.Phil. studentship Project: DPhil in Engineering Science
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, industrial and grid-level power electronics. The purpose is to improve the electric vehicles and the UKs energy infrastructure as we move into a low carbon economy. A paradigm shift in technology will be
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by the Ada Lovelace Centre and the University of Birmingham. This interdisciplinary project is ideal for candidates with a background in physics, materials science, chemistry, or computational science
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crosslinking agents. This initiative combines the expertise of a leading global battery R&D organisation and a specialist in polymer chemistry to develop GPEs with superior ionic conductivity and interfacial
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deadline passes. You will need to meet the minimum entry requirements for our PhD programme . Candidates should have a strong background and first degree in chemistry or closely related subject (BSc/MChem
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Boreal forest recovery after clear-cut: We are looking for a highly motivated PhD student to collect data on and model hydro(geo)logy and greenhouse gas exchanges of boreal forests after
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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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Human Behaviour in projects targeting social good. Research at N/LAB focuses on the development and application of innovative computational methods using Big Data, Behavioural Science and Machine Learning
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creatively. Good computer skills, plus good presentation and writing skills in English, are required. Previous research experience in contributing to a collaborative interdisciplinary research environment is