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-of-the-art structural modelling and computational protein design approaches to understand and engineer enzymes that modify IgG Fc N-linked glycans. The successful candidate will use tools such as AlphaFold
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functional transition metal dichalcogenides (TMDCs), combining precursor design and synthesis, electrochemistry, solution and surface computation, advanced characterisation and device integration. In
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, and catalytic processes. The project will use molecular dynamics simulations to understand molecular mechanisms of metal-based antimicrobial systems and biomolecular interactions, supporting the design
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growth of high-quality mono/few-layer functional transition metal dichalcogenides (TMDCs), combining precursor design and synthesis, electrochemistry, solution and surface computation, advanced
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candidate will contribute to an interdisciplinary research programme focused on the design, synthesis, and characterisation of liquid metal nanomaterials as catalytic artificial enzymes for biomedical and
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interactions, supporting the design of next-generation antimicrobial materials. The role will involve performing molecular dynamics simulations and computational modelling to investigate interactions between
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for light–matter interaction in hyperuniform disordered plasmonic structures, including electromagnetic modelling, optimisation of metal–dielectric–metal resonators, and physics-informed machine-learning
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, investigating their physicochemical properties, catalytic mechanisms, and interactions with biological environments. The postholder will design and conduct experiments to evaluate catalytic activity, stability
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, to establish new physical principles for designing high-efficiency, low-noise multi-rotor configurations. You will have access to state-of-the-art facilities for conducting aeroacoustics measurements and will
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with semi-analytical predictive models, to establish new physical principles for designing high-efficiency, low-noise multi-rotor configurations. You will have access to state-of-the-art facilities