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combinations. Over the last ten years we have collated and curated the world’s largest publicly available dataset of M. tuberculosis samples with both genetic and drug susceptibility testing data. This data has
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processes, Bayesian inference, signal models, sampling theory, sensing techniques, optimisation theory and algorithms, multi-modal data processing, high-performance computing, mathematical image analysis
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Applications are invited for a Postdoctoral Research Assistant in Ion Trap Quantum Computing. The post is available initially for a fixed-term duration of 3 years, with the possibility of extension
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aims to optimize the operations (serving) of AI by developing algorithms that manage compute, network, and storage resources in a carbon-efficient way while supporting long-term benefits
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attitude toward high-quality research to work as a full-time Doctoral Researcher or Postdoctoral Researcher in Computational Structural/Solid Mechanics. The candidate's research activities will focus
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The post holder will develop computational models of learning processes in cortical networks. The research will employ mathematical modelling and computer simulation to identify synaptic plasticity
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We are seeking a motivated and Talented experimentalist for a full-time Postdoctoral Research Assistant in Modelling of Quantum Computing Control Systems within Professor Ares’ and Professor
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About the role We are seeking a highly motivated, a postdoctoral researcher in computational biology. We investigate how immune cells interact with their environment in the human gastrointestinal
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This is a theoretical/computational postdoctoral position for the prediction and development of strongly correlated materials for use in quantum technologies. Project activities include
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The Opportunity: We are seeking a Postdoctoral Research Associate in Computational Cancer Genomics to join our team at the University of Edinburgh, funded by a Medical Research Council. This is a