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interdisciplinary research programme involves national and international collaborators. We are a vibrant, enthusiastic, innovative and strategic enterprise with an internationally leading position to make a real
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Postdoctoral Researcher in Machine Learning of Isomerization in Porous Molecular Framework Materials
broad range of applications. Computational chemistry and Machine Learning increasingly underlies MFM research to search or screen candidate MFMs prior to synthesis. A major drawback when applying
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, we're an outstanding university for students and awarded Best-ever performance in NSS & TEF (Gold) & REF. Join us and be part of a world class team, committed to growth, innovation and transforming lives
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to artificial intelligence (AI) (e.g. computer science, engineering, Statistics, and mathematics etc.) The post is available for 30 months, starting on 1 September 2025. If you are still awaiting your PhD to be
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Science Park. The post is funded by Innovate UK and is fixed-term to 30th April 2026. The CEBD project is an ambitious programme to develop the first category enhanced battery powered eVTOL. The project
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in running hydrogenation reactions using both heterogeneous and homogeneous catalysts, and have experience in catalyst design and reaction intensification in batch and continuous flow. A high level of
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it relates to the laser process parameters. Specifically, you will carry out high resolution Raman imaging on laser written polymer networks with liquid crystal resins. Additionally, you will develop
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understanding of the polymer network morphology and how it relates to the laser process parameters. Specifically, you will carry out high resolution Raman imaging on laser written polymer networks with liquid
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or in national administrative or legal practice are of advantage. Excellent knowledge of German and very good knowledge of English (C1), knowledge of another foreign language is an advantage. You exhibit
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to ionising radiation and clinically relevant drugs. A strong focus of this research is to study the specific functions of key DNA repair enzymes in high detail, how they function as a network to facilitate