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efficiency in the short and medium term. Manage performance through the University’s Performance and Development review process. 6. Ensure the maintenance of relevant statistics and performance measures in
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progression, with a particular focus on the role of somatic repeat expansion. The successful candidate will join an ongoing research program to provide statistical and data analysis support to the research team
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or related role(s) Knowledge, Skills Essential: C1 Specialist theoretical and practical knowledge of quantitative survey analysis, including appropriate statistical methods for population survey
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including team working and a collegiate approach C5 Ability to manage time and workload effectively C6 Data analysis, statistical, and interpretation skills C7 Problem solving skills including a
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statistics, as well as substantiated knowledge of machine-learning and Artificial Intelligence (AI) methods applied to Earth Observation geospatial data (e.g., satellite imagery, sensors, street view images
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Job Purpose To make a leading contribution to an EPSRC IAA-funded project on the multi-pixel modelling of liquid crystal microdisplays, working with Prof. Nigel Mottram (Mathematics & Statistics
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computer science, statistics, mathematics, computational biology or bioinformatics and experience of personal development in a similar or related role. For Appointment at Grade 7: A2 Scottish Credit and
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and Castro-Camilo, will develop the statistical methodologies that underpin this forecasting capability using their knowledge of statistics and data science. The successful candidate will also be
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of scholarship schemes, to conduct statistical and trend analysis in relation to scholarship conversion and to recommend the development of future tuition fee related discounts and policies. • Contribute
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supervision. 7. Use standard software packages including Microsoft Office to manipulate and statistically analyse/ interpret data and preparing resources that inform the operational decision-making