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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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for teachers to design their courses so the use of AI contributes to meaningful learning; and (4) create an engaged community around teaching and learning in the age of AI. For this post-doc position you will
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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