424 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"BioData" positions at University of Oxford
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how formal methods and tools can improve performance. • Experience of managing significant budgets and resource planning in a project or programme setting. Application Process To apply, please
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, climate-related challenges, and economic precarity. The expanded programme will involve interdisciplinary collaboration, international research partnerships, and knowledge exchange activities. A strong
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to reduce inequality in high-income countries, and/or (3) the study of social mobility and its relationship to economic inequality. The post holder will work with the INET Oxford programme on Economics
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%) allocated to teaching on the School’s programmes and developing the Alfred Landecker Programme. The post is generously supported by funds from the Alfred Landecker Foundation, to support a programme of
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government or the third sector, project or programme management, impact evaluation, or engagement with people with lived experience would be advantageous. Application process Applications for this vacancy
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independent programme of research, have the potential to attract research funding and will be contributing to the teaching and administration of the Department of Statistics and the OMI. At the OMI
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for the management and delivery of the Division’s training programme, and play a key role in developing strategy and policy in this area, as well as evaluating courses and events, and implementing new initiatives
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fixed term basis for 6 months. About the role The Assistant Course Manager is responsible for leading the smooth administration of the MSt Practical Ethics programme. You will ensure the efficient and
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, computer science, statistical or population genetics, or a related discipline), and a strong motivation to work on problems in genetics and you will also have relevant coding experience with producing high-quality
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computational statistics, machine learning, theoretical statistics, and probability as well as applied statistics fields, including statistical and population genetics, bioinformatics, econometrics, statistical