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Development for more information. About You To be successful in this role, we are looking for candidates to have the following skills and experience: Essential criteria PhD awarded in genetic epidemiology
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to prioritise complex caseloads effectively. Knowledge of evaluation methods and analysis and experience producing management information and reports. Educated to degree level with a strong understanding and
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University Information Services (UIS) is the central engine delivering digital services, IT infrastructure, business information, and powerful research computing at the core of the University
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range of field and laboratory approaches and are proficient with advanced environmental data analysis. We welcome candidates with a track record of obtaining research funding and experience working with a
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the implementation of functional enhancements to the HPC. The role sits within the Platforms & Research Systems Team, in the Information & Library Services Directorate (ILS), complementing the existing operations
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the ability to interpret structured information whilst planning and prioritising tasks. Be able to work effectively under pressure and have a willingness to learn new processes are also key attributes
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, plant transformation, plant breeding, computer vision assisted automated phenotyping, machine learning and AI. The role will require working with other institutional stakeholders to scope, design, equip
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mechanistic, dietary and clinical analyses embedded within a double‑blind randomised controlled trial of tirzepatide. Project Description You will analyse Intake24 dietary recall data collected during the trial
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Management or a related field (e.g., Data Analytics, Big Data, Entrepreneurship, Asset Management, AI), preferably with extensive management experience in the hospitality and tourism business, excellent
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wireless technologies. The Centre for Secure Information Technologies (CSIT) is the UK's Innovation & Knowledge Centre for cyber security, hosted at Queen's. The BDM (fintech /cyber-security) will