756 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation" "U.S" positions at University of Oxford
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into real-world settings. You will be responsible for developing machine learning and AI algorithms for a range of data and applications (e.g. natural language processing, multivariate time-series data
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/workforce-and-learning-research-group ). The Compound Pressures project is a realist review funded by the NIHR HSDR programme. The project aims to understand how multiple and intersecting pressures, such as
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. The main objectives of Dr Kapetanovic’s research programmes are the: • Development of novel genetic and optogenetic therapies for retinal diseases. • Investigation of innovative ocular surgical techniques
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We are inviting applications for an exciting new post for a Research Assistant to work with Dr Megan Kirk Chang on an interdisciplinary research program on the Oxford Health BRC Preventing Multiple
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for the technical development of the PRADA tool, an understanding of or experience with AI, digital apps and software algorithms would be desirable, as would an understanding of major depression and its
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staff as we embark on a journey to modernise and enhance the delivery of our IT support services. As an IT Service Desk Analyst, you will work closely with a range of staff across multiple departments
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, delivering tested methods, and creating algorithms to expand MMFM capabilities across domains like cardiology, geo-intelligence, and language communication. The postholder will help lead a project work package
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the implementation journey. Key responsibilities • Developing and delivering communications plans that support workstream-level and programme-wide engagement objectives, tailored to diverse internal audiences
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editorial skills, strong research and analytical abilities, and proven experience in developing and delivering strategic communications plans across multiple platforms. The role requires solid project
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at the Botnar Research Centre. The role will be interesting and varied, including: the development and validation of prediction models, carrying out systematic reviews, cleaning/linking large data sets, and