363 cloud-computing-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Oxford
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a pioneering research programme on “Enabling consumers to make healthy financial choices“, focusing on how behavioural finance insights can be applied at scale through technology platforms to improve
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our multidisciplinary team working at the interface of epidemiology, data science, and public health policy. The successful candidate will develop and apply advanced mathematical and computational
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Oxford Coordinator. About Opportunity Oxford Opportunity Oxford is a major University-wide programme supporting selected offer-holders transition from school to university. The programme works with around
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the gallery, able to judge when to refer situations to senior colleagues, and confident using basic computer systems, as rota updates and communications are shared electronically. You will be reliable, punctual
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in tackling many global challenges, from reducing our carbon emissions to developing vaccines during a pandemic. The Department of Computer Science at Oxford is renowned for pioneering research and
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and responding to information security incidents, working closely with the Oxford Computer Emergency Response Team (OxCERT), IT Services colleagues across the University, and third-party suppliers
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of Years 1 and 2 of the Graduate-entry Medicine programme. This will include organising teaching for Graduate-entry medical students, assembling course timetables, making arrangements for incoming students
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research programme in theoretical biophysics, (widely interpreted to include overlapping areas such as statistical physics, soft matter and the physics of life), teach at undergraduate and graduate level
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to their ongoing research programme, which aims to unravel the complex mechanisms underpinning 3-dimensional growth in plants. This is a fixed term position for one year. About you The successful applicant will hold
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, and intervening in the internal representations and computations of large-scale AI systems. The project explores areas including automated circuit discovery, structured capability hypotheses from