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and evaluation. The post holder will take a leading role in advancing theoretical and algorithmic research in the domain of probabilistic preference aggregation, contribute to the design and analysis
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Engineering, Mathematics, Statistics, Computer Science or conjugate subject; strong record of publication in the relevant literature; good knowledge of machine learning algorithms and/or statistical methods
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possess excellent record-keeping skills. You will be willing to help in many different aspects of laboratory work and management, including supervision of students and review of their written reports
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research centre within the Departments of Experimental Psychology and Psychiatry where differences between children and young people are understood and accepted, strengths are capitalised on, and mental
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of original machine-learning based algorithms and models for multi-modal ultrasound guidance that are intuitive for a non-specialist to use while scanning and trustworthy. You will work with clinical domain
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research centre that aims to conduct world class research that contributes to a world where differences between people are understood and accepted, strengths are capitalised on, and mental health
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research centre that aims to conduct world class research that contributes to a world where differences between people are understood and accepted, strengths are capitalised on, and mental health
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vibrant quantum research environment, with opportunities for close collaboration with researchers across different departments and also under the Oxford Quantum Hub and Oxford Quantum Institute. Although
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research centre that aims to conduct world class research that contributes to a world where differences between people are understood and accepted, strengths are capitalised on, and mental health
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difference in combatting antimicrobial resistance globally and changing international policy. We contribute significantly to basic knowledge of antimicrobial resistance and apply research methods to identify