356 computer-programmer-"https:"-"CNR" "https:" "https:" "https:" "https:" "https:" "P" uni jobs at University of Oxford
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. The post holder will join the dynamic and collaborative Department of Statistics. The Department carries out world-leading research in computational statistics, machine learning, theoretical statistics, and
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you deliver is completed in a safe way. You will be computer literate, have great communication skills, and be confident in your ability to communicate with students, contractors and University staff
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international programmes (Africa and Asia Programmes – AAPs). By consolidating professional HR staff into specialised centres, we ensure close collaboration with managers to advance our strategic goals
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to strengthen the uptake, scale-up, and sustainability of evidence-based parenting programmes globally. About you You will have knowledge of parenting policy context and established relationships with relevant
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the programme of public events that will start taking place in the building from spring 2026. An interest and appreciation for the arts and humanities is essential. To Be Successful You’ll Need: To be
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are essential, along with strong computer literacy and familiarity with standard software packages. A working knowledge of statistics and experimental design, and experience using statistical software such as
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-term programme offering graduate-level roles (on-the-job training with role-specific accredited qualifications. A minimum of two days on-site per week is required, with flexible working arrangements
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pension scheme 38 days annual leave A comprehensive range of childcare services Family leave schemes Cycle and electric car loan schemes Employee Assistance Programme Membership to a variety of social and
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or computational research in the area of quantum technologies, either in Physics or a related discipline (including Engineering, Materials, Chemistry, Computer Science or Mathematics) You will have a strong
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of its world class research facilities, spanning microscopy, imaging, materials testing, carbon dating and much more. Funded as part of the University’s wider Digital Transformation programme, the software