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. The successful candidate will contribute to an interdisciplinary research programme developing computational models to understand molecular interactions relevant to antimicrobial systems, biomolecular interfaces
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, molecular modelling platforms, and glycan conformational analysis frameworks (e.g. GlycoShape) to investigate the structural dynamics of IgG glycans and their interactions with glycosyltransferases. Working
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) at the University of Southampton. The successful candidate will contribute to an interdisciplinary research programme developing computational models to understand molecular interactions relevant to antimicrobial
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teams. You will be required to be flexible and interact effectively with colleagues across the wider EXPRESS consortium to fulfil the scientific goals of the Programme. The position is offered for 24
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flexible and interact effectively with colleagues across the wider EXPRESS consortium to fulfil the scientific goals of the Programme. The position is offered for 24 months in the first instance, with
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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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-therapeutics Laboratory and the Centre for Cancer Immunology, and will interact regularly with internal and external collaborators, as well as the project funders and their supporters. The role also includes
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the mentorship of leading experts in one of the following priority research areas: Research area 1: Intelligent Structural Optimization using Physics-Informed Reinforcement Learning Research area 2: AI-Enhanced
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bioengineering applications. The role will involve developing gallium-based liquid metal nanostructures and catalytic systems, investigating their physicochemical properties, catalytic mechanisms, and interactions
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candidates will engage in cutting-edge research under the mentorship of leading experts in one of the following priority research areas: Research area 1: Intelligent Structural Optimization using Physics