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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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-based posts. The research project will utilise DNA methylation data from three large, Scottish studies across both blood and saliva (~35,000 samples in total). The researchers will: Build epigenetic
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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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, semi-structured interviews and empirical research in diverse settings. They will be confident managing sensitive data, maintaining rigorous and well-organised research records, and working in accordance
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identification of phases in metallic systems such as aluminium alloys or steels. You will have demonstrated expertise in applying machine learning and computer vision techniques for the analysis of scientific
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biopsy development. This role is suitable for candidates with either (i) a computational background (e.g. bioinformatics, data science, computational biology) who enjoy working closely with experimental
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formation. The successful applicant will use recently obtained data from an ALMA high-priority project featuring the first simultaneous ALMA and VLA observations of the Orion Nebula Cluster, led by Jan
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on both micro- and macro-level data. Duties may include data collection and construction, statistical analysis, computational work, replication of results, and contributing to the preparation
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skills This opportunity is particularly suited to early career researchers seeking to establish and grow an independent research trajectory in applied health and care research. Additional Information
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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