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-tools.github.io/ ) in the School of Informatics at the University of Edinburgh, on projects in the research areas of Probabilistic Machine Learning, Neuro-Symbolic AI and Deep Generative Models. The candidate will
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Biomolecular Control Group at the University of Edinburgh. The group develops computational methods for the design of molecular systems for biotechnology and future therapy. The post is part of the CYBER
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on operations. To support development of complex multi-layered systems and to inform rapid decision-making, this project will develop advanced Machine Learning (ML) architectures that learn directly from a
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learning approaches for biological design, and the PDRA will work closely with data scientists at the University of Edinburgh to build predictive models that can accelerate the design of genetic circuits in
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for machine learning approaches for biological design, and the PDRA will work closely with data scientists at the University of Edinburgh to build predictive models that can accelerate the design of genetic
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universities with an interest in cryo-EM – University of Dundee, University of Edinburgh, University of St Andrews, and University of Glasgow, where we are based. We deliver high-quality single particle and
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an ongoing collaboration with researchers from UCL and the University of Edinburgh. For additional information, please contact Dr Xi Wang at [email protected]. When reaching out, kindly use the subject