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medicine, is of particular interest. Essential Criteria PhD: Hold a PhD (or be about to) Area of expertise: computational imaging Evidence of research ability: capability to be self-directed and think
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with a PhD in Engineering (or close to completion) may apply. You will be responsible for: Design of the first reconfigurable robotic matter in collaboration with world-leading universities and
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analysed by bespoke machine-learning driven algorithms, combined with physical models, to de-noise images, identify features and correlate properties, giving critical insights into power loss pathways
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31 September 2028) in association with a new Faraday Institution-funded project entitled “Accelerated Development of Next Generation Li-Rich 3D Cathode Materials (3D-CAT)”. You will have a PhD (or be
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, reporting to Prof. Mauro Pasta. Applicants must hold PhD/DPhil in Materials Science or Chemistry (or be close to completion), together with relevant experience in the field of beyond Li-ion batteries, in
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, reporting to Prof. Mauro Pasta. Applicants must hold PhD/DPhil in Materials Science or Chemistry (or be close to completion), together with relevant experience in the field of beyond Li-ion batteries, in
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for candidates to have the following skills and experience: Essential criteria PhD qualified in mathematical, physical or computational sciences Experience in using machine learning methods to analyse datasets
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organisational skills that might include, sample management, electronic lab books, working with collaborators. Ability to work supportively in a laboratory environment, and to supervise and educate junior co
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of, a PhD/DPhil in biological sciences and have relevant experience in biochemistry, protein purification and microbiology. You should be able to work independently and have enthusiasm to creatively think
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Python) Experience in analyzing large and/or complex datasets Interest in quantifying uncertainties for computer models and/or climate predictions Ability to work in a team Ability to communicate orally in