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. About the Role The post is funded for 3 years and is based in the Big Data Institute, Old Road Campus. You will join an interdisciplinary team of researchers spanning imaging science, machine learning
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accent change in large-scale real-time data from multiple generations in London, testing predictions of language contact and sociolinguistic theory, analysing the repertoires and play interactions of young
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to automate scientific discovery in both the natural and social sciences. The postholder will contribute to one or more of the following strands: • Foundational work on large-scale/foundation models and
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foundational theory of how large ML systems can be regularised to have dramatically fewer trainable parameters without sacrificing accuracy by analysing the use of low-dimensional building blocks Implicit
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our multidisciplinary team working at the interface of epidemiology, data science, and public health policy. The successful candidate will develop and apply advanced mathematical and computational
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characterization and benchmarking techniques for quantum algorithms on devices at or beyond the 16-transmon scale. They will also contribute to designing large-scale control and readout multiplexing based on cQED
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of therapeutic genomics, leveraging large-scale functional genomic datasets and cutting-edge computational resources, including university HPC clusters and AWS. The post-holder will advise colleagues on data
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York Genome Center) to co-design experiments and generate novel datasets, including exome/genome sequencing of hundreds of thousands of individuals, large-scale single-cell data from primary human
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We seek an enthusiastic postdoctoral research associate (PDRA) to work on the UK NERC-funded large grant “Hurricane Risk Amplification and Changing North Atlantic Natural disasters (Huracán
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with the possibility of renewal. This project addresses the high computational and energy costs of Large Language Models (LLMs) by developing more efficient training and inference methods, particularly