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Join the Oxford Martin Programme on Forecasting Technological Change at the University of Oxford, led by Dr François Lafond, Prof J. Doyne Farmer, and Prof Max Roser. This pioneering programme aims
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T cell recognition across a range of disease models, including cancer. We are looking for an individual with substantial experience in advanced computational data analysis and programming, with
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generating and analysing single-cell sequencing data is essential. The postholder will be responsible for testing scientific hypotheses, analysing complex datasets, and contributing to the development of new
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research in the fields of quantum transport in nanoelectronic devices, particularly those based on two-dimensional (2D) materials such as graphene, transition metal dichalcogenides, and more complex van-der
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is concerned with the challenging problem of modeling the complex modern radio environment, where a diverse set of devices and agents share the available spectrum. In this environment, it is crucial
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employability of our students. It has an active programme of internationally recognized research in Pure Mathematics, Applied Mathematics, Statistics and Probability. The research culture is vibrant, with many
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including discounted membership for our state-of-the-art sport and gym facilities and access to a 24-7 Employee Assistance Programme. Our on-site nursery is rated Outstanding by Ofsted, and you can access
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skills (e.g. Python, Julia) to merge concepts of chemical engineering, operations research and computer science, as you may also need to deploy machine learning to support data analytics and complex
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research at the intersection of moral psychology and AI ethics, contributing to a major programme of work on how humans understand, evaluate, and trust artificial intelligence (AI) systems that make moral
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at familiar issues and deliver new tools to solve complex problems. About the role The Department of Mathematics at King’s College London invites applications for two postdoctoral research associate positions