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or joint research, with assistance of a mentor if required Analyse and interpret data Apply knowledge in a way which develops new intellectual understanding Disseminate research findings for publication
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analysing behavioural data, supporting animal welfare monitoring, and contributing to research outputs including reports and publications. You will be based at the Leahurst Campus (Wirral Peninsula) and spend
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battery data. Develop scalable, secure, and production-grade software systems supporting industrial deployments. Integrate embedded BMS firmware, edge computing devices, and cloud analytics pipelines
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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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, 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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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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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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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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will be judged on merit alone, we particularly welcome applications from groups currently underrepresented in the workforce. Further information For further information please contact Professor Dave