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disease. This will involve data-driven feature extraction and the training and optimization of various machine learning models. The research will focus on analysing data from deeply phenotyped cohorts
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observations like 2D images and transferring those pose/style statuses to 3D characters. By leveraging cutting-edge machine learning models, the project aims to produce accurate estimation of human movements and
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Research Officer for the Health for Life in Singapore (HELIOS) Study. This study is undertaken jointly by LKCMedicine, National Healthcare Group and Imperial College of London (www.healthforlife.sg ). It
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mechanics code capable of modelling arbitrary configurations. The project will investigate the possibility of using AI and machine learning in shear band modelling, developing a deep insight in which
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The National Gallery Scientific Department & Imperial College London Applications are invited for a PhD studentship, to be undertaken at Imperial College London (Electrical and Electronic
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images and transferring those pose/style statuses to 3D characters. By leveraging cutting-edge machine learning models, the project aims to produce accurate estimation of human movements and simplify
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AI for Chemistry. You will work on projects coordinated between both experimental chemistry and machine learning academics. These posts offer the academic freedom and the deep science base of Imperial
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advanced technological integrations. The selected PhD candidate will have the opportunity to collaborate with prestigious institutions, including the Personal Robotics Lab at Imperial College London and the
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chemistry and machine learning academics. These posts offer the academic freedom and the deep science base of Imperial College London and University of Liverpool (including self-driving labs and high
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/Catchers that are camouflaged to the immune system, so are much more potent for therapeutics. Collaborating with Imperial College London, we will apply this new protein superglue to overcome major barriers