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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