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- CRANFIELD UNIVERSITY
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design of new and improved thermal battery materials. The successful applicant should have or expect to achieve at least a 2.1 honours or equivalent at Bachelors or Masters level in Chemistry, Physics
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for research posts at the Research Associate level, one in Generative AI for small molecules and materials, and one in multi-fidelity machine learning for Chemistry. Candidates are welcome to state
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of state-of-the-art Computational Chemistry techniques, and you will extend the boundaries of computational materials design through the combination of cutting edge electronic structure simulation techniques
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computer codes to solve some of the daily research problems and have experience with high performance computing. You should have a PhD in Chemistry, Physics or Materials Science with a proven research track
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: Chemistry, Biochemistry, Physics, Material Science, Natural Sciences, Biotechnology, Pharmacy, Chemical Engineering, Environmental Engineering, Pharmacy, Synthetic Biology, Computational Biology/Chemistry or
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, sustainable, advanced concrete materials with carbon negative footprints. To achieve this breakthrough we will use a multi-discipline approach incorporating organic and polymer chemistry, materials science and
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use a multi-discipline approach incorporating organic and polymer chemistry, materials science and leading-edge data analysis, including machine learning/AI approaches. We are looking to attract
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use automation to accelerate materials discovery and where possible to free up researcher time. You should have a PhD in relevant field (Chemistry, Materials Science, Chemical Engineering etc
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use automation to accelerate materials discovery and where possible to free up researcher time. You should have a PhD in relevant field (Chemistry, Materials Science, Chemical Engineering etc
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15 May 2024 Job Information Organisation/Company CRANFIELD UNIVERSITY Research Field Chemistry Researcher Profile Recognised Researcher (R2) First Stage Researcher (R1) Country United Kingdom