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materials synthesis and analytical method development, and we collaborate with clinicians, environmental engineers and many others to deliver technologies to end users. We aim to provide an inclusive
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chemistry or chemical engineering, a strong publication record, a pro-active approach and strong expertise in gas phase heterogeneous catalyst testing and in catalyst synthesis and characterisation. The post
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effects while building machine-learning-ready kinetic datasets for predictive catalyst design. You should have a PhD (or about to obtain) in Chemistry or field related to this project (Chemical Engineering
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, and contributions to open-source software) and application of these methods to research problems in computational materials chemistry. You will also contribute to wider-ranging research activities
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of researchers to develop new heterogeneous catalysts for conversion of CO2 to light olefins using high-throughput experimental techniques and AI tools. You will have a PhD in chemistry or chemical engineering, a
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agreement: §48 VwGr. B1 lit. b (postdoc) Limited until: 02.04.2032 Reference no.: 5394 Your future place is at the Department of Sport and Human Movement Science in the research area of Computer Science in
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This postdoctoral position contributes to a UKRI-funded programme developing anatomy-driven artificial intelligence for translational neuroscience, with a focus on understanding how cognitive
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will be supervised remotely by Dr Franchino and in person by Dr Paolo Ronchi, the Head of the Translational Chemistry and Innovation Technology Unit, within the Medicinal Chemistry and Drug Design
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and experience: Essential criteria PhD in applied mathematics, statistics, engineering, computational biology, econometrics, or a related discipline. Experience in developing complex models using real
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Point 25 - 28 £33,482 - £36,130 until confirmation was received. This post is available from 30 March 2026 for an initial period of 12 months. Based within the Faculty of Science, Engineering and Business