553 parallel-computing-numerical-methods-"Simons-Foundation" positions at University of Oxford in United Kingdom
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of research: survey design, rapid and literature reviews, mixed methods data analysis, and content and text analyses of policies and programmes. This role includes research assistant work such as the day-to-day
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or experimental methods, applied statistics, or computational social science. The position is open to candidates from relevant social science disciplines including political science, sociology, economics and public
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software development in a team setting • Experience with version control distribution software like Git • Experience with numerical methods and techniques, including optimization and statistical analysis
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support a high-value materials characterisation programme as a postdoctoral researcher. The ability to think outside the box with creativity, along with having the drive and ambition to develop those ideas
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. In addition to the NIHR funded post available, locally funded posts may also be awarded in parallel, subject to funding and assessment against the stated criteria for the role. Applicants should be
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seeking to appoint a Departmental Lecturer in Educational Assessment. The post-holder will contribute to the teaching and supervision of students on the MSc Educational Assessment (MEA) programme offered
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with an international reputation for excellence. The Department has a substantial research programme, with major funding from Medical Research Council (MRC), Wellcome Trust and National Institute
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Prof Yarin Gal and will work in the Department of Computer Science at the University of Oxford, based in the Wolfson Building, Parks Road, Oxford. The successful candidate is expected to conduct
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People and Finance Service Transformation (PFST) Programme Communications Officer Internal Applicants Only This is an exciting opportunity to contribute to a significant transformation programme
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contribute to a programme exploring how experimentation and innovation unfold in public services, using immersive qualitative research methods such as fieldwork, interviews, and facilitated learning sessions