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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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genetic barcoding, clonal lineage tracing, and single-cell and spatial omics. The role involves analysing, interpreting and presenting experimental data, managing your own research and administrative
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, Inequality, and Opportunity. About you You have completed, or be close to completion, of a doctorate in a social science discipline (or a relevant data science field), have interest and research in the field
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partners to design, implement and refine robust MEL approaches across a diverse research portfolio. This will include overseeing systematic data collection and analysis using quantitative and qualitative
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to meet deadlines • Adapt existing and develop new scientific techniques and experimental protocols • Test hypotheses and analyse scientific data from a variety of sources, reviewing and
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and day-to-day management of the LabCup inventory, risk assessment and asset management system across our laboratories. You will maintain accurate data on chemicals, equipment and risk assessments
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administrative systems, and building strong working relationships across the Department and the wider University. Some responsibilities will involve highly confidential information and require discretion and sound
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, income-generating teams and data colleagues, you will prepare and review management accounts, support budgeting, forecasting and planning processes, and deliver clear, insightful financial information. You
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of the trial, including monitoring trial progress and the development and maintenance of SOPs, as well as, contributing to data analysis and paper preparation. You will hold a good first degree, or equivalent
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databases for the collection, management, and reporting of patient-reported and clinical outcome data. This post involves developing training materials to ensure participant identification, recruitment, and