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track record in food system and mathematical modelling research. The project aims to: 1) assess resilience of both the current UK fruit and vegetable (F&V) system plus several scenarios of future possible
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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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(preferably neuroimaging) Computationally efficient deep learning Deep learning model generalisation techniques. Translating deep learning models to the clinic The post holder will be based in the Department
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of extreme events. New modelling capability will be developed to quantify impacts of extreme events on surface melt of ice shelves. These advances will bring a step change over current knowledge of extremes in
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the starting date is negotiable. The current funding is guaranteed from the Montague Burton Fund. We are looking for a candidate who is a health economist with excellent computational skills. The post is
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these bioinformatic experiments. Access to a high-performance computer will be provided. The candidate must be capable of generating complex molecular compound models in silico and using current molecular dynamic
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Claudia Monaco’s research group at the Kennedy Institute of Rheumatology. In this role, you will apply single cell biology and cell signalling techniques combined with in vivo and in vitro models
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modelling the coupling of atmospheric and micro-physics moisture dynamics. The work will be carried out in collaboration with and under the supervision of Professor Edriss S. Titi. Duties include mathematical
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erosion on wind turbine blades and aircraft components. LSIMPACT aims to reveal the mechanisms underlying liquid-solid impact damage using innovative experimental and computational approaches, thereby
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candidate will work with Professor Guilio Del Zanna on producing advanced atomic models. This post offers an excellent opportunity to contribute to a high-profile project focused on the development