137 computer-programmer-"https:"-"Prof" "https:" "https:" "https:" "https:" "https:" "U.S" positions at University of London
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; experience in the Higher Education sector is desirable Will be competent in the use of computer software in a work environment (such as Microsoft Office, Sharepoint, Library Management Systems, Helpdesk
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project on evidence synthesis for planetary health and the Sustainable and Healthy Food Systems programme in Southern Africa. The post-holder must have a doctoral degree in a relevant topic and expertise in
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support through our Employee Wellbeing Programme and access to Togetherall. Pension Scheme with generous employer contribution Cycle to Work scheme, Season Ticket Loans, free on campus parking and help with
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this cohort are around 40,000 University of London students who study programmes which are developed and delivered in partnership with our 17 federation members. The University of London is also home to
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programmes. This is an exciting opportunity to help shape the education of future biomedical science and healthcare professionals within a dynamic, research-intensive academic environment. The postholder will
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Computer Science at Queen Mary University of London, working with Professor Rachel Humphris and Dr Dimitrios Kollias. The successful applicant will undertake computational research, including algorithmic
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works under the direction of the Deputy Librarian. A staff development programme is available for the trainee, along with other Graduate Library Trainees in the University of London and beyond. For a full
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within its Department of Accounting & Financial Management. The postholder will deliver high‑quality, practice‑informed teaching across undergraduate and postgraduate programmes, organise and lead auditing
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practice within its Department of Accounting & Financial Management. The postholder will deliver high‑quality, practice‑informed teaching across undergraduate and postgraduate programmes, organise and lead
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Trust-funded project on Plasma-Assisted Combustion (PAC) Modelling of Ammonia, in collaboration with the York Plasma Institute. The successful candidate will develop and apply advanced computational