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Field
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to candidates with a strong quantitative background. We welcome applicants with training in mathematics, statistics, health economics, computer science, or epidemiology, particularly those with good numeracy and
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based at the School of Electronics and Computer Science, Southampton. The project is researching, developing and evaluating decentralised algorithms, meta-information data structures and indexing
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in Florø, Kristiansund and Stord. The faculty's activities are internationally based and take place in close collaboration with regional companies, clusters, health trusts and the public sector
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) Research experience in Public Health/Epidemiology/Informatics/ Statistics Excellent written and verbal communication skills Ability to work in a multidisciplinary team and independently Evidence of writing
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relevant subject area Experience working with large datasets e.g. CPRD or similar Experience with relevant statistical software (STATA or R) Research experience in Public Health/Epidemiology/Informatics
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. in computer science, medical, health informatics, or other related field. Candidates will need to have completed their PhD or have it completed by the start of employment. Applicants should upload a
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the essential criteria for the post, which includes: Have or be about to obtain a PhD in computer science, engineering, mathematics or physical sciences area. Recent high quality research experience in
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scheme. A range of wellbeing initiatives including membership of Peppy , a health application that connects staff to expert practitioners and personalized support on health matters. Applications
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Work, Safety, and Health Regulations. Coordinate procurement and liaise with vendors/suppliers to support project needs. Work independently, as well as within a team, to drive research and development
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to international conferences/journals. Carry out Risk Assessment, and ensure compliance with Work, Safety and Health Regulations. Work independently, as well as within a team, to ensure proper operation and