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and collaborative. The successful applicant will be managing their own academic research and administrative activities. This involves small-scale project management, to co-ordinate multiple aspects
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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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to numerical simulation algorithms? Then apply now to join our team of theoretical researchers in the Quantum Information and Quantum Many-Body Physics research group. Your personal sphere of play: As a
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the coordination of large-scale robot systems (ground and aerial). The ideal candidate will possess hands-on experience with designing and implementing reinforcement learning algorithms, and deploying them onto real
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will use proteomics, genetics, biochemistry, and biomechanics to investigate how the parasite oocyst wall is so robust. You will perform genome editing of Cryptosporidium using CRISPR/Cas9 and determine
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), based at the Centre for Human Genetics, University of Oxford. The post aims to assist with the preparation and molecular characterisation of tumours using multi-omic analysis focusing principally
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organised, with excellent record keeping and have the ability to work independently and manage multiple tasks, including training junior members in the group. Desirable experience includes previous experience
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support projects using GWAS, Mendelian Randomisation, and polygenic risk score analysis to uncover genetic mechanisms underlying complex traits. There are opportunities to integrate omics data across
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A position exists for a Post Doctoral Research Associate in Department of Applied Mathematics and Theoretical Physics to work on the theory and implementation of algorithms and protocols on quantum
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A position exists for a Post Doctoral Research Associate in Department of Applied Mathematics and Theoretical Physics to work on the theory and implementation of algorithms and protocols on quantum