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Contribute to the creation of a large database on historical banknote users Collect and summarise relevant background information about monetary and financial history in modern Britain between 1690s and 1920s
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to data analysis and biological interpretation. Role Summary Develop, implement, and apply advanced reproducible computational tools and workflows to process, analyse, and interpret large-scale LC–MS-based
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outlined below. Develop research objectives and proposals for own or joint research, with assistance of a mentor if required Analyse and interpret data Apply knowledge in a way which develops new
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that university owned and managed bed spaces are fully occupied and that excellent customer care is always provided. The Student Living team provides advice, information and support to students living in University
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and kept up to date including maintaining records both paper and computer based as appropriate. Store, curate and back-up data to prevent data loss. Escalate problems that may affect the achievement
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after 12 months service. Apprentice Grade 6 Full Time / Fixed Term for 19 Months Apprenticeship Standard: Data Analyst – Level 4 Training Provider: QA Closing date: 20 July 2025 - please upload a CV with
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essential. Familiarity or experience of management and analysis of large multidimensional real world data sets using Stata, R, Python, or similar. Knowledge of C++ would be advantageous but not essential
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for public and cultural engagement across the University through thought leadership and a partnership approach. Track record of delivering large scale, innovative public engagement programmes appealing
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the handling and management of sensitive information/issues. A high degree of initiative, personal judgement, resourcefulness, flexibility, and a self-motivating approach. Ability to work effectively in a large
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(HPB). The medical oncology grouping sees close to 550 new cases of these cancers a year. There is a large active clinical trials programme that spans phase 1 to phase 3. These patients have a poor