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, Machine Learning, Software Engineering, Chemical Engineering, Civil Engineering, Mechanical Engineering, Robotics, Geotechnology, Operational Research, Computational Physics
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the Schools of Chemistry and Chemical Engineering at the University of Leeds, will investigate flow chemistry and machine learning approaches for the development of an automated reaction screening platform
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, this project with apply the result to further train neural network-based machine learning models, with the aim of developing predictive tools for the rational design of future materials. Please state your entry
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Bachelor’s Degree in an appropriate field will also be considered. Subject Area Analytical Chemistry, Physical Chemistry, Machine Learning, Mechanical Engineering, Chemical Engineering, Materials Science
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. This project aims to develop machine learning models to predict a particle shape and size for a given chemical formulae and crystallisation method. Extractive Language learning models developed will be able
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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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Sadrizadeh from KTH and with secondments in University of Leeds (3 months) to learn new experience to perform modelling of time dependent dispersion of airborne microbial pollutants from various human
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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