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readiness. This is a unique opportunity to contribute to a pioneering platform that could transform process-scale chemistry in the pharmaceutical and agrochemical industry, combining hands-on engineering with
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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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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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Computer Science, Chemistry, Chemical Engineering, Physics, or Materials Science. You will develop optimisation and machine-learning algorithms for human- and literature-informed discovery of new materials
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close to completion) in cognitive neuroscience, psychology, biomedical engineering or a related area ¿ Experience of human neuroscience experiments, including EEG or MEG recording and analysis
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We are seeking to appoint a postdoctoral researcher to join our programme on application-specific detector R&D for physics experiments, supported by the UK Science and Technology Facilities Council
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Engineering, Physics or Materials Science and skills in crystallography (including advanced skills in solving crystal structures) as well as the ability to take responsibility for research planning and
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to the next generation of precision therapeutics. This role offers a unique opportunity to engage in cutting-edge translational research at the interface of pharmaceutical science, materials engineering, and
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We are seeking a Postdoctoral Research Associate wishing to contribute to an exciting evidence synthesis project with direct clinical and policy relevance, funded by the NIHR Health Technology