711 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation" positions at University of Oxford in United Kingdom
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We are seeking a full-time Senior Developer in Computer Vision to join the Control Group at the Department of Engineering Science in central Oxford. The post is funded by the Engineering and
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We invite applications for a Research Software Engineer to join the Oxford Protein Informatics Group (OPIG). This exciting position is unique within the University and will provide an unrivalled and
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Stack Software Developer. The group aims to identify, understand, and develop therapies for rare genetic disorders. The group is primarily computational but partners with multiple international labs
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that tackles global challenges - from advancing sustainability to pioneering healthcare solutions - and join a diverse, inclusive community that champions your wellbeing, development, and aspirations. Apply now
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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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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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, 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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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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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