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Requirements Essential: • PhD (or near completion) in Chemical Engineering, Environmental Engineering, Sustainable Process Engineering, or a closely related field. • Demonstrated experience in techno
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and big data mining. The research fellow will take a leading role in an EU-Africa research project, collaborating with Research Organisations, Academia, and Industry in South Africa, Switzerland, France
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of the project covers the 13 OECD countries over an 18-month period (1 January 2020-30 June 2021). The work will consist of: gathering and compiling data on central and regional government policies in the fields
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, genes, and pathways involved in sensing water in the model plant Arabidopsis. Building on our previous work (Mehra et al., Science, 2022), we aim to understand how hormone-driven pathways help roots
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ensure the reliability and accuracy of the measurement system before its full implementation in production. About the team - Rolls-Royce University Technology Centre (UTC) in manufacturing and on-wing
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data acquisition and interpretation are highly desirable. This is a collaborative project between the School of Pharmacy, The School of Computer Science, Physics and Astronomy, the School of Life
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Applications are invited from qualitative researchers with a PhD (or close to completion) for the position of Research Associate/Fellow within the School of Health Sciences. You will be part of a
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discoveries (Mehra et al., Science, 2022), this project aims to identify novel genes and regulatory pathways involved in sensing water availability in the model plant Arabidopsis thaliana. We are particularly
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the Engineering Department, led by Dr. George Gordon (further information at www.georgesdgordon.com). Please contact Dr. Gordon informally if you are considering applying (george.gordon@nottingham.ac.uk). Please
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in adults with cerebral palsy; this project has been funded by NIHR Programme Development Grants. You will conduct a scoping review, recruit and interview participants, analyse qualitative data