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evaluation of North Atlantic jet-stream changes in large numbers of state-of-the-science global climate model simulations that have recently been produced by key inter/national projects, using the latest
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for the game changing impact of our science globally. Click here to find out more about working at the John Innes Centre. About the Howard Group: The Howard group combines mathematical and biophysical modelling
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About us The Social Computation and Representation Lab (SoCR Lab; www.socrlab.net) uses mathematical models and causal experimental designs to understand the fundamental rules behind human and AI
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, or a related discipline, and must have a strong research track record, experience with cell culture model systems, proficiency in flow cytometry, confocal microscopy or other advanced imaging techniques
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experience in: Deep learning Medical imaging computing (preferably neuroimaging) Computationally efficient deep learning Deep learning model generalisation techniques. Translating deep learning models
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as appropriate. To be involved in student supervision, as appropriate, and assist with the assessment of the knowledge of students. To conduct research on advanced microgrid modelling and optimisation
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generate key structural and biophysical data to support the design of small molecule inhibitors with particular focus on protein production and crystallisation, solving protein-ligand structures, fragment
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Manufacturing (AM) aluminium alloys. This project adopts a three-fold strategy: creating hierarchically structured aluminium-based alloys with fine-tuned compositions, testing their performance upon AM, and
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). Many world-leading researchers in the field of signal transduction have trained within the MRC PPU. The major aims of the MRC PPU are to advance understanding of the role of protein phosphorylation and
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and glacier models, based on large ensembles of simulations extending to 2300. The simulations will be from two international projects aiming to inform the Intergovernmental Panel on Climate Change