302 software-verification-computer-science-"TCAT-Jacksboro" positions at University of London
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offering training and access to real time trading software to both UG and PGT students. The School is located within the Faculty of Humanities and Social Sciences which comprises of nine Schools. About Queen
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access to specialised scientific applications, internally developed programmes and software. About You You will be an IT professional with extensive experience in supporting scientific researchers in a
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research networks such as the Centre of Data and Statistical Science for Health (DASH) (https://www.lshtm.ac.uk/dash ) and the Multi-City Multi-Country Collaborative Research Network (https
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the successful candidate embarking on a PhD programme at LSHTM. It is anticipated that the role will lead to a further 18 month funded opportunity at Max Planck Institute for Demographic Research (MPIDR), in
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, including audio-visual equipment, operating systems, and software. Based primarily at our Hawkshead campus, you will provide hands-on, face-to-face support, with occasional travel to our Camden campus as
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Windows systems. Your responsibilities will include diagnosing and resolving technical issues across a wide range of hardware, software, and operating systems—including audio-visual equipment. You will also
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in partnership to achieve excellence in public and global health research, education and translation of knowledge into policy and practice. The Baby Ubuntu programme is a group-participatory programme
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high level of attention to detail and work in an efficient and organised manner. Computer literacy, accurate data entry skills, and a science related degree, HND/HNC or similar are essential
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View All Vacancies Comparative Biomedical Sciences Location: Hawkshead (nr Potters Bar, Herts) Salary: £40,528 to £51,470 Per Annum Including London Weighting Fixed Term / Full Time Closing Date
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at the Barts Cancer Institute (Queen Mary University of London). This role will involve analysing existing spatial-omics data sets and developing novel computational tools to understand the risk of developing