253 algorithm-development-"Multiple"-"Prof"-"UNIS" 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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form, how it is generated and how it evolves. In particular we focus on the evolution and evolvability of vertebral counts, and we use various species of Lake Malawi cichlids as our model organism
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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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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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to advance hepatitis B and liver disease research and to develop novel analytic approaches for NHS routine data. You will be based at the University of Oxford, joining a collaborative, interdisciplinary
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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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vaccine platforms. You will provide support in the insectary work, and the related in vivo experiment and research work including research design, methodological development, and the analysis and reporting
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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
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), Neha Potnis (Auburn), Courtney Leisner (Virginia Tech)) and Thomas Lahaye (Tübingen)) to investigate the effect of fluctuating temperatures on the outcome and evolution of plant-pathogen interactions. We