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opportunity for an enthusiastic and motivated postdoctoral Computational Biologist to contribute to multimodal data integration as part of a translational genomics programme within the group led by Professor
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. To assist with trial set-up and obtaining necessary local and national approvals (ethics, MHRA) and contribute to site file and data management under guidance of the trials coordinators and lead investigators
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mobilisation activities. You will play a key role in conducting document analysis and semi-structured interviews with a range of participants, analysing qualitative data, and co-leading participatory workshops
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. Determine how to maximise information extracted from the raw forecasts and how to optimise postprocessing skill for heavy precipitation. Develop ML methods to predict hydrological variables from the weather
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science methods, ideally to environmental health data, and conducting systematic reviews and meta-analysis. Further particulars are included in the job description. The post is full-time 35 hours per week
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a PhD (submitted or nearly submitted at the time of application) in a field relevant to urban studies, housing policy, geography, sociology, behavioural science, or spatial data science, with a strong
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Fixed Term - 12 months, 37 hours per week Location: Nottingham Trent University, Clifton Campus. About the Role The Department of Sport Science at Nottingham Trent University invites applications
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science methods, ideally to environmental health data, and conducting systematic reviews and meta-analysis. Further particulars are included in the job description. The post is full-time 35 hours per week
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expertise in life cycle assessment, soil science, and big data analytics. This role offers you the chance to directly impact global food security and environmental sustainability while working in a
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that the project objectives and deadlines are met. You will be expected to keep diligent records and computer code. This post is based at the University of Warwick (in The Control and Engineering Biology group