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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 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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financial assurance and counter-fraud activity across a large, complex organisation, working closely with Finance colleagues and departments across the University. Location: Great Clarendon Street, Oxford
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between the two linked studies as well as taking the lead in the large-scale qualitative secondary analysis of interview data from multiple sources. In this role you will be expected to contribute
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, Rwanda, and Ethiopia). The group will work with partner organisations, including local governments and the NGO GiveDirectly. There are several large-scale randomized controlled trials and large-scale data