150 computer-programmer-"https:"-"U"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "U.S" positions at University of London
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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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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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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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About the Role This is an exciting opportunity for an established clinical academic to lead a historic MBBS programme with an international reputation for excellence. The post holder will join the
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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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is the opportunity to perform; in an average year, the Academy runs a vibrant programme of around 500 events. Philanthropy plays a significant role in the life of the Academy and supports our mission
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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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About the Role We are seeking to recruit a motivated Postdoctoral Research Assoicate with a PhD degree and interest in bioinformatics or computational biology. The candidate will develop methods
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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 the cost of Eyesight testing
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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