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datasets, modelling approaches, and performance metrics; develop physics-informed and data-efficient machine learning models to predict sorbent behaviour from sparse and multi-modal experimental data; and
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nm) and over long timescales (10-100ps). To meet these objectives this project aims to further develop our recently introduced non-adiabatic molecular dynamics simulation method, termed excitonic state
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models, molecular biology and sequencing. The student will be expected to attend and present in local and international meetings and conferences. The main objectives of the studentship will be: To carry
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