715 algorithm-development-"Multiple"-"Prof"-"Prof"-"Simons-Foundation" positions at University of Oxford
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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
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samples and model systems to help develop novel therapies and diagnostics. The post holder will be part of a team of laboratory technicians working in multiple laboratories, delivering a range of techniques
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, defensive mechanisms and related topics to the safe deployment of systems contain multiple LLM and VLM powered models. You will be responsible for Developing and implementing; capability evaluations, attacks
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collaboration with the study team, and develop new statistical frameworks for evaluating multiple correlates of protection in vaccine trials and real-world evidence studies. Other duties include contributing