202 data-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of London
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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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practice research, primary care research, etc. The postholder will be required primarily but not exclusively to undertake qualitative data analysis, supporting patient and public involvement, and other
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institutional visibility through coordinated, data-led content and campaigns. For a full role profile, please refer to the job description below. Further Information To be considered for this opportunity, please
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. These languages notably power WhatsApp's servers, Uber's software infrastructure, and the NHS information backbone. Two key advantages of message-passing concurrency are that it is higher-level and avoids data-race
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research institute with a core of over 130 researchers, research students and legal information professionals, but which draws its primary membership from academic researchers and postgraduate research
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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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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 and
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, Asylum and Nationality Act 2006. Full-Time, Permanent Royal Holloway is advancing its hybrid cloud strategy, combining expansion into public cloud services with a modernised on-premises data centre powered
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data management. Other services within the portfolio include online applications, applicant & student engagement, and a variety of data integrations using a mix of Ellucian, Oracle and Microsoft
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at LSHTM. The post-holder must have a postgraduate degree in a relevant topic (ideally Medical Statistics or equivalent) and relevant experience in using regression models for data analysis and statistical