5 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"Ulster-University" PhD positions at The University of Manchester
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aspects of machine learning. Applications include improving the efficiency of data assimilation methods and understanding why and how deep learning works. Applicants should have, or expect to achieve
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sluggish diffusion kinetics of HEAs make them excellent candidates for resisting oxidation and corrosion in high-temperature steam. Guided by thermodynamic modelling and machine learning, we will identify
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characterization, computational modelling, or metal forming is advantageous but not essential. Enthusiasm and willingness to learn are more important. You will gain hands-on experience with cutting-edge experimental
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students per year across a number of UK institutions. The Skills and Training Hub will run online and face-to-face activities to facilitate cohort building and group learning exercises throughout the PhD
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to build molecular machines and new materials. The ability of their subcomponents to undergo large amplitude displacement, such as macrocycle shuttling in a rotaxane, make them ideal structures