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Topological insulators (TIs) are an emerging class of materials that are generating considerable interest worldwide with potential for many device applications as part of next generation quantum technologies
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advantage in calculating useful properties of idealised materials or experimental systems out of equilibrium. Please state your entry requirements plus any necessary or desired background First or Upper
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degree (or equivalent) in an appropriate discipline. Subject Area: Chemical Engineering, Materials Science, Pharmaceutical/Medicinal Chemistry, Physical Chemistry, Artificial Intelligence, Machine Learning
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@leeds.ac.uk Project summary Ligand/material discovery has been carried out through laborious trial-and-error approaches. Recent advances in high throughput computational chemistry and AI/Machine Learning
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for pathogen exposure and engineering strategies for controlling risk”, being supervised by Professor Guangyu Cao and Prof. Laurent Georges at EPT, NTNU, Dr. Amir Khan from University of Leeds and Prof. Sasan
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risk”, being supervised by Professor Guangyu Cao and Prof. Laurent Georges at EPT, NTNU, Dr. Amir Khan from University of Leeds and Prof. Sasan Sadrizadeh from KTH and with secondments in University