612 computer-programmer-"https:"-"U"-"FEMTO-ST" "https:" "https:" "https:" "https:" "https:" "UCL" positions at University of Oxford
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dealing with customers, both face-to-face and by telephone and e-mail as appropriate. Ability to use standard computer programs (Outlook, Word, Excel) To demonstrate good communication skills (both oral and
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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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. Candidates are expected to demonstrate the ability to: work as part of a team; identify research objectives and subsequently conceive, plan and independently execute appropriate activities to deadlines
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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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high-quality code for data preparation and data analysis using commonly used computer languages carrying out descriptive data work including visualisations/plotting preparing and documenting meetings and
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related problems, or child and adolescent mental health, or co-production/participatory research to work within established research programmes. Excellent communication and organisation skills with good
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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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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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. 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