375 data-"https:" "https:" "https:" "https:" "https:" uni jobs at KINGS COLLEGE LONDON
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(APMU) required timelines, the interpretation of analytical mass spectrometric data for anabolic steroids and the technical operation of the GC-MS and GC-C-IRMS instruments (troubleshooting and planned
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. Experience of balancing the need to share information appropriately to ensure the effective management of risk with the need for confidentiality and data protection legislation compliance, and escalating risk
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including grade 7. Visit the Centre for Research Staff Development for more information. About you To be successful in this role, we are looking for candidates to have the following skills and experience
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. Experience of balancing the need to share information appropriately to ensure the effective management of risk with the need for confidentiality and data protection legislation compliance, safeguarding
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economics. Our academics use large data sets to evaluate therapies, models of care, and highlight inequalities in access to treatment. We have transformed stroke rehabilitation, linked antidepressant use
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or equivalent. Basic level of computer literacy (ability to access email and online training) Experience of working in a catering environment Understanding of all relevant health, hygiene, and safety regulations
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evaluating complex information from a variety of sources to create clear and engaging content, preferably within an academic, health or public sector environment. Excellent verbal and written communication
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confidentiality with familiarity of data compliance requirements and good practice Able to manage competing priorities and work under pressure in a busy environment with minimal supervision Good knowledge of MS
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methodologies and ability to design/conduct research, including data analysis. Involvement in audit, QI, or service evaluation; project management or team-leading skills; ability to contribute to curriculum
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, epidemiology, health data science, or other closely related disciplines. They will bring internationally recognised expertise in statistics and methodological leadership in digital trials, demonstrated by a