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supervisors and wider project collaborators. The role will include developing review protocols, screening studies, extracting data, undertaking risk-of-bias assessment, synthesising evidence, performing meta
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technology management, or smart grids. Experience in development of mathematical meta-models, control strategies, optimization methods and algorithms, data analysis and machine learning techniques, techno
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To contribute to the creation of sample size calculations for Individual Participant Data (IPD) meta-analysis projects by undertaking a range methodology research activities within an NIHR-MRC funded project
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strategies, inclusion/exclusion criteria, and analytical plans. Designing and executing robust search strategies across multiple scientific databases (e.g., PubMed, Embase, Cochrane Library). Conducting title
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proposal writing-up, innovation projects, or startup initiatives. Interest in energy informatics and the role of digital technologies and ICT (e.g., blockchain, IoT, data analytics) in future energy systems
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will focus on developing a process-guided and AI-assisted soil community foundation model for natural climate solutions. Candidates with prior experience in process-based modeling/data analytics/deep
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potentially meta-transcriptomic sequencing data alongside phenotypic and other veterinary data generated by project partners at NMBU. This integration could involve conducting statistical and computational