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- confident in using specialist software, databases, and spreadsheets to manage large volumes of data effectively C5 Strong analytical, problem-solving and decision-making skills to identify, investigate, and
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risk log. E6 Experience of coordinating and influencing large and diverse groups of stakeholders. E7 Experience extracting critical information to inform risk, through stakeholder engagement, information
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Responsibilities 1. The Associate must bridge AWTG's technology experience with specialised educational Large Language Models (LLM) knowledge. During Stage 1, the Associate will need to develop an initial LLM
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disease’ working with Prof. Darren Monckton. Prof Monckton’s team use targeted and whole genome sequencing of large patient cohorts, combined with other molecular and clinical data, to understand the genome
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Safety and Health and Safety Awareness. C4 Ability to work well under pressure. C5 Basic computer skills and experience. C6 Excellent communication and interpersonal skills. C7 Adaptable and Flexible
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. The postholder will work in collaboration with relevant College staff through the data requirements gathering and input phase to inform the efficient scheduling and space allocation of teaching events in
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commercial testing. Designed to provide high-quality, reliable data for numerical simulations, the NWTF underpins innovation across aerospace and related transport technologies. Co-located with other large
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Meier and the wider Systems Science in Public Health team within the Public Health Unit, School of Health and Wellbeing. HealthMod is a large UK-wide research programme which connects scientists
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. C4. Research creativity and cross-discipline collaborative ability. C5. Communication skills [oral and written], including ability to communicate complex and/or large volume data clearly and concisely
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that bring staff together around thematic strengths, across the strategic pillars of education, research and innovation. More information on the College can be accessed here: https://www.gla.ac.uk/colleges