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to the class label given, but also to generate data for classes that are not present in the training set and conduct their own material characteristic campaign. Further Information: The University of Edinburgh
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technologies, by bringing most up-to-date bioscience and engineering together, so off-grid systems are configured with confidence. The project at the University of Edinburgh specifically addresses a pressing
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led by Prof Bruce Whitelaw and Dr Tom Burdon at University of Edinburgh (Roslin Institute) and Prof Ramiro Alberio at the University of Nottingham. The team’s expertise in genetic engineering, stem cell
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biomass alcohol conversion. Photocatalysis has recently emerged as a promising way for benzyl alcohol conversion because of the low energy consumption, mild reaction conditions and high selectivity. However
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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