381 computer-programmer-"https:"-"Inserm" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" uni jobs at University of Oxford in United Kingdom
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, inequality, gender, ethnicity, migration, politics, social movements, health, crime, social networks, the application of computational methods. We welcome candidates with interests in different regions
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to deliver a clinical service component as part of their job plan. Queries about the post should be addressed to Professor Jonathan Rees, Head of Department and Director of the Botnar Institute
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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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-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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the materials for the MAFE and will also be required to deliver lectures and supervision at other programmes within the Economics Department. The teaching and supervision load will be 336 ‘stint points’, which is
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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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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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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