764 algorithm-development-"Multiple"-"Prof"-"Prof"-"Newcastle-University"-"U" positions at University of Oxford
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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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/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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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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aims to develop formal frameworks and algorithms for eliciting, aggregating, and analysing stakeholder preferences over risk and safety in AI systems. The Research Assistant will support the development
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computational social choice, and aims to develop formal frameworks and algorithms for eliciting, aggregating, and analysing stakeholder preferences over risk and safety in AI systems. The Research Assistant will
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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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leading role in advancing theoretical and algorithmic research in the domain of probabilistic preference aggregation, contribute to the design and analysis of normative frameworks and aggregation rules, and
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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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analysis of data from a Nipah virus vaccine trial, using machine learning and statistical tools to identify immune response markers for future trials. You will be responsible for developing new and adapting
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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