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. Teaching Responsibilities In the role of a lecturer, the successful candidate will teach graduate courses in MCS and undergraduate courses in the CSE bachelor program. The expected workload for the in-class
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scattering with computer modelling such as molecular dynamics simulations and AI-assisted data mining. The new technical capabilities will help bridge the current gap in biocide development, i.e., to link
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wellbeing services including an Employee Assistance Programme Exceptional starting annual leave entitlement, plus bank holidays Additional paid closure over the Christmas period Local and national discounts
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The role holders’ primary duties will be to support and develop the University’s Financial Systems (Currently Oracle EBS). The role holder will also provide advice, guidance and support and carry out all aspects of business process and systems analysis, software maintenance and development;...
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About Us The Sailem Group is a dynamic, multidisciplinary research team focused on advancing cancer care through cutting-edge computational and AI technologies. We develop innovative approaches
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- Systems Support/Developer – Learning and Teaching software Cardiff University has a vacancy for a System Support/Developer role within the VLE team in University IT. Us We want to make Cardiff University
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environment initiatives, drawing on a close understanding of user communities and within the context of a strong engagement plan. Location: 5 Worcester Street, Oxford, OX1 2BX Salary: £39,424 - £47,779 per
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Oxford University Weighting of £1,500 per year (pro rata). Are you passionate about taking a lead role in a cutting-edge project at the intersection of genomics, computational biology, and haematological
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of Stellar Systems' research group led by Prof. Glenn van de Ven. Our ideal candidate has a solid background in computational astrophysics, strong track record in software development, and keen interest in
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, multidisciplinary research team focused on advancing cancer care through cutting-edge computational and AI technologies. We develop innovative approaches that combine deep learning, computer vision, and