723 algorithm-development-"Multiple"-"Simons-Foundation"-"Prof"-"UCL" positions at University of Oxford in United Kingdom
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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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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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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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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 Oxford Department of International Development (ODID) is seeking to recruit a Quantitative Researcher (Systematic Literature Review), CIC. Reporting to Professor Masooda Bano, the post-holder
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& Insights: Drive the collection, analysis and interpretation of marketing data from multiple sources, providing actionable insights that optimise campaigns and support strategic decision-making. Market
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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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. 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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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