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. The candidate should hold a degree in a built environment-related subject, data science, computer science or equivalent experience. They should have knowledge of research methods and techniques within data
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• To contribute and support research funding bids as required • To analyse and communicate complex ideas, concepts and data using appropriate methods and packages • To resolve issues and support colleagues in
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you if you have a: Knowledge of research methods and techniques within remote sensing and/or chemical transport modeling including experience working in high performance computing environments. Proven
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. • Explore innovative methods for representing measured data suitable for a range of end users, including educational users, policy makers, homeowners and the wider public. • Actively participate within
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feasibility studies for proactive maintenance, minimal intervention material changes, and active low-carbon systems • Explore innovative methods for representing proposals and predicted performance suitable
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and support research funding bids as required • To analyse and communicate complex ideas, concepts and data using appropriate methods and packages • To resolve issues and support colleagues in
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using complex statistical methods (i.e. structural equation modelling and/or multivariate analysis). The successful applicant will enjoy data analysis and working with complex data and will have some
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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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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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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 and packages