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linked health data, including major cohort studies and biobank resources. Your work will support high-impact programmes such as research into chronic diseases within the EXCEED Cohort Study, as
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Development”, funded by an ERC/UKRI Starting Grant 2023. The project will leverage micro-level data from multiple countries and novel theoretical frameworks to shed light on how the accumulation and utilization
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the selection of strategic alternatives. Most of his research uses large-scale quantitative data analysis alongside semi-structured interviews. He uses unique data that he collects by scraping multiple data
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further information about the post. The interview date will be announced shortly after the advert closes. Further details Job Description
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non-student applicant, you will need to put N/A or random numbers in the mandatory student information sections. Description of the Group The post holder will join the Supramolecular and Bioinorganic
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data for research, behavioural science, implementation science/knowledge mobilisation, advanced evidence synthesis (network meta-analysis, individual participant data meta-analysis). We are seeking
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contexts and contribute to rigorous welfare assessment frameworks for practical use. Analyse Complex Data: Perform advanced statistical modelling and neurophysiological/behavioural data analysis to test and
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the recruitment and collection of data through interviews and surveys as well as analysing the mainly text-based data with support from the project leads. You will be a key member of the team and will have core
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chemical information, enabling deeper understanding of fibres used in next‑generation battery and photovoltaic applications. You will work closely with academic collaborators and industry partners, and
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maintain modelling, data management and cloud-based exchange systems to enable effective collaboration and delivery across the IGNITE Hub. Contribute to writing bids for research funding Collect, analyse