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techniques, theoretical modelling, and precise synthetic control – have significantly improved the activity, selectivity, and stability of CO₂-to-alcohol conversion. Key catalyst systems include Cu-based
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in the elderly as well as increased susceptibility to infections and cancers [1]. While age-related immune dysfunction has been extensively studied, underpinning the molecular changes that drive
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, there is an urgent demand for accurate data on ion-beam collisions with atomic and molecular targets for the development and maintenance of fusion reactors, treatment planning in hadron therapy, and
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investigations at macro, micro and molecular levels. Modeling tools such as HSC Chemistry and ASPEN Plus will be used to identify most suitable low cost catalysts/minerals and to perform process modeling
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, using toxic molecular reactants rather than renewable electricity. One obvious solution toward integrating renewable electricity into chemical manufacturing is to electrify industrial organic reactions
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interested in connecting spatial and spectral information to understand complex materials systems at the molecular level with machine learning. PhD Student A will work with tumour sections to develop multiple
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You will explore the nature of metal corrosion inhibitor interactions through advanced molecular modelling and integrate this understanding into the formulation of evolutionary algorithms
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group, we synthesise these functional nanomaterials from the bottom-up, using protocols of molecular beam epitaxy and on-surface supramolecular chemistry. We study these systems by means
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Corporation (GRDC)’s initiative, multiple PhD Scholarship positions have been made available on developing new data analytics methods and modelling for grain research innovation and ensuring enduring