212 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"UNIV" positions at University of London
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, including liaising with speakers, managing logistics and evaluating impact. Maintain and develop EDI webpages and intranet content, ensuring information is accurate and up to date. Produce and contribute
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stakeholders Experience of using software designed to deliver learning or Data literacy and understanding of data management Good project management skills. Excellent organisational skills and meticulous
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the life-cycle of the clinical trial, with particular focus on data and sample management. About You You should possess a relevant qualification/experience and have excellent IT and communication skills, as
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applications from all people regardless of age, disability, gender, marital status, parental status, race, religion or belief, sexual orientation, or trans status or history. More information on our structures
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and Payroll system, ResourceLink, and on-line recruitment system, Stonefish, inputting data, providing advice and support on the grading of posts using the University’s formal job evaluation scheme
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– Enterprise Applications. This post will play a vital role in supporting the organisation’s data infrastructure and enabling the successful implementation of a new Student Records System. The successful
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compliance targets and financial procedures and protocols are met, and monitoring For a full role profile, please refer to the job description below. Further information To be considered for this opportunity
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Right to work: Applications from job seekers who require sponsorship to work in the UK are welcome and will be considered alongside all other applications. For further information visit the UK Visas
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of the selection criteria. Please provide one or more paragraphs addressing each criterion. The supporting statement is an essential part of the selection process and thus a failure to provide this information will
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data related to psychological and behavioural aspects of cancer or pain management. Excellent self-motivation and communications skills, experience of qualitative data collection and experience