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once a suitable candidate is selected. Are you interested in developing machine-learning methods for protein design and applying them to a new class of materials-manufacturing problem? The Research
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collaboration from our Ed Tech teams. The Education Systems and Delivery team work alongside an Ed Tech Learning Design and Innovation team. Both sections work in partnership with one another to provide high
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Physicist who combines a strong research programme in physics with expertise in machine learning, AI, statistics, or scientific computing. Your research will develop new approaches to analysis, inference and
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expertise in at least a few from the following areas: Programming (C++, Python, etc) Machine Learning / AI Computer Vision Medical Image Analysis Prior experience in medical applications and medical data
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two of the following areas, as well as ability and willingness to become familiar with the other:neuro-symbolic machine learning, computational argumentation, explainable AI, diffusion models, computer
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team that has diverse skills, experiences and abilities. You can read more about our commitment on our web pages . Proud signatory of the Armed Forces Covenant. We welcome applications from
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manufacture and modify high precision bespoke components for use in research both within the Light Community and external collaborators. The facility has a range of equipment including manual/CNC machines and
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. These posts offer a rare opportunity to work on frontier AI with real clinical and biomedical consequence. You will join Nightingale AI, an interdisciplinary programme spanning machine learning, medicine
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to the Terascale Project Knowledge of research methods relevant to AI for materials science Knowledge of one or more of the following areas: machine learning interatomic potentials, generative AI, automated and
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Do you want to combine high-throughput directed evolution with machine-learning analysis of deep sequencing data to engineer better antibodies? The Sormanni Lab in the Department of Chemical