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manifold learning and Riemannian optimisation to leverage the underlying manifold structure for better training and novel network designs. Low Effective-dimensional Learning Models. We will extend
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biologists, statisticians, software engineers and molecular biologists. You will be embedded within the “Mitigating Gram-negative infections” theme in our Health Protection Research Unit in Healthcare
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of building relationships both internally with academic and professional services staff, and externally with research funders, government, sector networks and regulatory bodies. To apply, please send a
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essential. Familiarity with immune signalling pathways and previous experience of multi-parameter flow cytometry software are desirable. Due to the nature of the research at the Kennedy Institute
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relevant to setting a roadmap for ongoing experiments, as well as recently developed applications of tensor network techniques to large-scale partial differential equations. We are advertising two positions
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candidate will lead experimental studies integrating top-down native MS, lipidomics, and ligand screening to define how small molecules and lipids modulate pharmaceutical targets. They will design and execute
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continuous seismic datasets from Costa Rica’s National Seismological Network (Red Sismológica Nacional; RSN) creating enhanced earthquake catalogues that will illuminate subsurface volcanic, tectonic and
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network of academic and practitioner partners. The SLP’s work focuses on four themes: (1) climate litigation; (2) legally relevant climate science (like attribution science); (3) climate policy (via
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About the role We seek a dynamic and self-motivated individual with expertise in the ‘Global Renaissance’ (defined temporally as c. 1400 to c. 1650) to facilitate research and engagement work in
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reactions, along with constitutive models for glassy and semi-crystalline biodegradable polymers, building on recent works from the Brassart group. You will implement the models in a finite element software