158 computer-programmer-"https:"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "ASNR" positions at University of London
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. The successful candidate will provide support to the IHSE Finance Team processing financial information, invoices, management accounts and placement related transactions for all the programmes within IHSE
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running facilities but also about the activities and programmes that are delivered to build a sense of belonging and community at Royal Holloway. Active Lifestyle and Sport is committed to delivering
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disseminating various types of research documents. The job will involve close collaboration with research groups across national and international programmes, monitoring and summarising new developments in
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The University of London The University of London is a leading UK provider of distance and digital education internationally, offering programmes to 45,000 students in 190 countries around the
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of the extenuating circumstances process with the Student Engagement Manager. The SSO will respond to and plan for the growing demands of the School’s increasing student expectations in relation to taught programmes
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undergraduate curricula and participating in postgraduate training programmes. We are looking for true team players with exceptional leadership and communication skills and who are enthusiastic about working with
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on our current successes, our heritage, and our strategic location, to become a leading School nationally and globally by investing in all areas of activity. We offer programmes at the Undergraduate and
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Innovation. This is a key role for the University, focusing on enabling the delivery of the University’s strategic plan and its commitment to challenge-led research and partnership. Reporting to the Head of
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statistical computing packages is essential to this post. Further particulars are included in the job description. The post is part-time, 17.5 hours per week, 0.5 FTE and fixed-term until 31 August 2026 in
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. Proficiency in statistical methods, programming (including Linux), and use of high-performance computing clusters and parallel computation is expected, along with a clear research vision to enhance the Unit’s