702 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof" positions at University of Oxford in United Kingdom
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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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at the University of Oxford. The post is fixed-term to until 30 Sept 2031. About The Role The EPIONE Senior Research Programme Manager will be responsible for a six-year EPSRC-funded initiative focused on developing
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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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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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mechanisms by which FAT protocadherins contribute to chromosomal instability and eventually shape cancer evolution. We are seeking a highly motivated and ambitious Postdoctoral Researcher to join our team
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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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. The University of Oxford provides a stimulating work environment, renowned globally as a centre of excellence. Our research addresses key global challenges, from combating climate change to developing life-saving
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on transplant using multimodal medical data. You will be responsible for literature review, data cleaning, model development and implementation. You should possess a relevant PhD (or near completion) in