63 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "University of St" "St" "St" research jobs at University of Nottingham
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advised that normally your references will be contacted prior to the interview. For more details and/or to apply on-line please access: https://jobs.nottingham.edu.cn/job/184375/ If you are unable to apply
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approximately 5-10°C warmer than the 1970-2010 average. The role will involve the generation of ecophysiological data as measurements of plant performance and generating morphological and anatomical trait data
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In this role you will develop cutting edge AI approaches to help researchers identify scientific information in historical manuscripts. Specifically, working with the Royal Horticultural Society
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investigator and Career Consultants in the Careers and Employability Service on data interpretation, benchmarking and report writing. This includes gathering and systematic analysis of large-scale
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Hicks, to support the project. You will work within a collaborative team, supporting participant recruitment, scheduling and conducting interviews, managing and analysing data, and writing a lay summary
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, numerical modelling, data analysis, and interpretation of results. Alongside this, around 30% of the role will involve contributing to publications and actively supporting the development of future research
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obtained from Disclosure Scotland, or an overseas police check. Further information is available in the role profile. To apply for this vacancy please click ‘Apply Now’ to complete your details. It is a
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and testing a prototype tool with young people, practitioners and computer scientists to support improved identification, understanding and support for self-harm in young people. You will support the
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, Shin-Etsu. Applicants must hold a PhD (or close to completion) in a relevant plant or crop science field, have experience growing plants under axenic and/or glasshouse conditions, and possess strong data
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, to deliver the final stages of this multi‑year research programme and support the production of high‑quality scientific outputs. About you- You will bring strong data analysis skills, including