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mitigation strategies need to be developed to extend their lifetime. The goal of the Post Doc will be to improve our understanding of the corrosion chemistry in chloride based salts for a selection of cladding
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of those materials needs to be assessed, and innovative corrosion mitigation strategies need to be developed to extend their lifetime. The goal of the Post Doc will be to improve our understanding
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modeling, molecular interactions/energetics, and tools such as AlphaFold, Rosetta, or MD simulations. Solid programming skills (Python); familiarity with machine learning is a plus. For both profiles, we
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this position, you will employ molecular dynamics (MD) simulations to investigate the underlying atomistic mechanisms of LCI in steel grain boundaries and the inhibitory role of silicon. Your MD-based approach
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validation, this position addresses the underlying governing atomistic mechanisms. Within this position, you will employ molecular dynamics (MD) simulations to investigate the underlying atomistic mechanisms
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groups. The theoretical methods include stochastic modelling, MD simulation, and Bayesian inference; the position will also include joint collaborative projects with other group members and our
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theoretically, in tight collaboration with experimental groups. The theoretical methods include stochastic modelling, MD simulation, and Bayesian inference; the position will also include joint collaborative