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spanning multiple diseases. About the lab: The Glastonbury Lab is focused on developing and applying Machine Learning to problems in digital pathology and spatial transcriptomics. The group has a particular
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questions we aim to tackle as part of this project are: Why are only some bacteria capable of performing one or both processes? Under which environmental conditions do organisms that can execute both
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perform one or both de- and re-conjugation, what determines a cell’s choice between de- versus re-conjugation, and under which specific conditions bacteria preferentially perform one versus the other
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of an identified area of the specification (Biology A level) Craft detailed explanations to questions to explain the logic and science in a way that actively contributes to learning and successful outcomes
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summaries (visualizations) using relevant computer software; Assisting with preparing grant applications to secure further funding for relevant projects; Helping establish new projects and research consortia
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(visualizations) using relevant computer software; Assisting with preparing grant applications to secure further funding for relevant projects; Helping establish new projects and research consortia relating
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Intelligence, Brain-inspired Computing, Human-Computer Interaction, Flexible Wearable and Intelligent Integration System, Machine Learning, Data Mining, Big Data Platform, Cloud Computing, Distributed Computing
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unparalleled opportunities for learning, growth, and expanding their skills. Above all, we work together to deliver life-changing medicines, with every role playing a vital part in our mission. Caring Deeply
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summaries (visualizations) using relevant computer software; Assisting with preparing grant applications to secure further funding for relevant projects; Helping establish new projects and research consortia
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: Mathematics, Physics, Chemistry, Materials Science, Energy Science, Energy Engineering, Optics, Computer Engineering, Integrated Circuits, Information Engineering, Robotics, Network Science, Artificial