365 cloud-computing-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at University of Oxford
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Applications are invited for a Health Economics researcher to join a team led by Associate Professor Koen Pouwels. This research programme focuses on evaluating the cost-effectiveness of infectious
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proven expertise in seismic data processing and analysis, knowledge of volcanic/ geothermal processes, strong quantitative skills, and proficiency in Python for scientific computing. You should be
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approach to service provision and manage a c.£100m digital transformation programme. As such, we require potential candidates to possess good people, process, IT and accounting skills ideally proven in a
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services to support academics, staff, students, and visitors across the Department, while managing the institution’s computer systems and network infrastructure. This role requires adaptability to the rapid
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-quality, safe, accessible, and welcoming front-of-house operations across a year-round programme of arts, academic, and public events. This is a hands-on role requiring strong leadership, customer service
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clinical psychologists, other research assistants, psychology assistants, project and trial managers, and computer scientists. With a psychology degree (2:1 or above), you will have an interest in
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computational statistics, statistical machine learning, simulation and statistical programming). The postholders will join the dynamic and collaborative Department of Statistics. The Department carries out world
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to perform a broad array of bespoke tasks effectively and with minimum operator intervention. This role is an integral part of our EPSRC Programme Grant in Embodied Intelligence and will involve both
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the University of Oxford’s CRM Programme. This role focuses on designing, developing and delivering an effective CRM solution, in alignment with programme objectives and governance, to support the delivery
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(CoI-AI) Programme. This ambitious programme combines advanced immunology, artificial intelligence, and human challenge models to transform vaccine discovery and accelerate development against major