273 engineering-computation-"https:"-"https:"-"https:"-"https:"-"UCL" Postdoctoral positions in United Kingdom
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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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significant research investment at CPFC across postgraduate (PhD, MRes) projects spanning sport science, rehabilitation, and computer science domains. These projects engage across CPFC’s senior men’s, senior
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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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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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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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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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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
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About the role We are seeking an enthusiastic Postdoctoral Researcher to join the School of Engineering and Materials Science at Queen Mary University of London. The successful candidate will
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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