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an application submitted in English. Job Description Main function To contribute to research using mainly qualitative methods focusing on public involvement, carrying out supporting work that helps lead to the
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SCH clinical, demographic, estates, and environmental datasets. Supporting the application of statistical methods and spatial mapping of the HVI across SCH zones and patient groups, and assisting in
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multisource blending methods will then be applied (e.g. kriging, probabilistic merging, machine learning) to combine datasets and preserve extremes. Uncertainty will be quantified explicitly, with outputs
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findings for publication. Your role will include: Gathering and working with research data using relevant methods and software (e.g., SPSS, RStudio, NVivo). Reviewing and summarising academic literature
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role will include: Gathering and working with research data using relevant methods and software (e.g., SPSS, RStudio, NVivo). Reviewing and summarising academic literature. Helping to draft research
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work that leads to high-quality academic outputs and practical advice to improve our methods of mobilising evidence to support policy-making. Main Duties • To act as the Centre’s embedded impact
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by UKRI About you You should hold a postgraduate qualification (MA/MSc) in the social sciences, with experience in qualitative research methods and a strong interest in environmental sustainability
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funded by the University and by NaturalMotion Ltd. NaturalMotion Ltd develops computational methods for animating movement, as used in Hollywood films and computer games. The founder, Torsten Reil, is an
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support research publications and presentations as required To contribute and support research funding bids as required To analyse and communicate complex ideas, concepts and data using appropriate methods
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methods and a strong interest in environmental sustainability within an interdisciplinary context. You will be working in an interdisciplinary team with researchers from the University of Surrey and