282 engineering-computation-"https:"-"https:"-"https:"-"https:"-"https:"-"IMEC" 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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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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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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grant TWISST: Terahertz wave induced spin switching technology. TWISST aims to develop the scientific understanding needed to create a new generation of magnetic memory-devices characterised by very low
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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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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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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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advanced numerical simulation and/or optimization tools to the design and characterization of the facility; interact with other technical groups working on the Diamond-II design (e.g. Engineering
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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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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