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4-year PhD fellowship in the Research Programme - Deep Learning-Accelerated Crystallography Pipeline
determination by developing mathematical methods and integrating machine learning into crystallographic workflows. The successful candidate will develop theoretical and computational approaches to improve
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Assistance Programme. · The opportunity to take part in staff volunteering activities. · Family friendly policies, including maternity and adoption leave, which are among the most generous
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IS Apprentice - Identity and Access Management (IAM) ( Job Number: 26001225) Computing and Information Services Grade 3: - £25,025 - £25,571 per annum Apprentice - Full Time Contract Duration: 5
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, will contribute to the future success of Durham University’s Institute for Computational Cosmology (ICC). A world-renowned research centre, the ICC is about to celebrate its 25th anniversary during
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Assistant or Associate Professor in Computational Astrophysics or Cosmology ( Job Number: 26000989) Department of Physics Grade 8/9: - Grade 8 £47,389 - £56,535 per annum Grade 9 £59,966- £67,468
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courses. To develop, implement and validate computer software including the development of software deliverables for demonstration to external research collaborators. To document and maintain computer
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and processes within finance. The post-holder will undertake a three-year development programme, leading to formal qualifications and gain experience of a fully functional finance service. Formal
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health and wellbeing including discounted membership for our state-of-the-art sport and gym facilities and access to a 24-7 Employee Assistance Programme. · The opportunity to take part in staff
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Tales for Children (TWiTCH) Early Years language programme. The project is funded by the Education Endowment Foundation (EEF) and more information can be found on the EEF website (https
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physics, cosmology, particle physics and quantum physics. It has real world impact, informing developments in energy storage, improved cancer imaging, quantum computing, nuclear fusion, pandemic modelling