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the groups of Dr Joe Forth, Dr Anthony Bradley, and Project Lead Professor Steve Rannard, applying your expertise in machine learning, cheminformatics, and soft materials to accelerate LAT design and
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asynchronous AI-led chemical optimisation across chemistry laboratories¿. This role sits at the intersection of robotics, machine learning, and chemistry, aiming to develop robotic systems that work
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developing cutting-edge active-learning (Bayesian optimisation) methods that integrate chemical knowledge by capitalising on Large Language Models (LLMs) as well as human knowledge. You should have a PhD in
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. The project integrates synthetic organic chemistry, kinetic analysis, automation, and machine learning to establish next-generation mechanistic workflows for asymmetric organocatalysis. The project advances
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and from what sectors of society they came, b) to investigate the motivations for using and learning Greek, and c) to retrace how individuals and communities in the West learned and accessed Greek
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) to investigate the motivations for using and learning Greek, and c) to retrace how individuals and communities in the West learned and accessed Greek knowledge. The project team will create a four-part database
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came, b) to investigate the motivations for using and learning Greek, and c) to retrace how individuals and communities in the West learned and accessed Greek knowledge. The project team will create a