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), alongside experience working with large-scale biological, clinical or imaging datasets and experience building or maintaining data pipelines (e.g. ETL processes). You will be proficient in Python and relevant
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Institute of Particle Astrophysics and Cosmology (BIPAC), on research aimed at extracting cosmological information from large-scale structure (LSS) and Cosmic Microwave Background (CMB) probes on very large
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to, data science, statistics, computer science, engineering, mathematics, etc.), along with prior experience analysing electronic health records data from large mental health electronic health records
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The Nuffield Department of Population Health undertakes world-leading research into long term, chronic health conditions, operating large-scale long-term studies and projects to identify the causes
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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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. 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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integration for modelling development accelerator programmes in Africa. You will work closely with the Economic Evaluation Research Team (EERT) to develop innovative, data-driven models to inform large-scale
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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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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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have proven experience working in a large, busy finance department and must be capable of effectively managing a small team. Further information on this role can be found in the job description. At Saïd