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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
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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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models at many scales including electron dynamics, soft-matter physics, materials-biomolecules interaction and device physics exploiting the collaboration with a multidisciplinary team of theoreticians and
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. This position will focus on one key stream: understanding and improving the interaction between EVs and roadside barriers. This will involve: Modelling EV crash dynamics with conventional and SRB barriers
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regions free of fouling material. This discovery will prompt a redesign of electrolytic reactors for the manufacture of enantiopure products and electrodes for enantioselective detection. It removes
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We are seeking a highly motivated and skilled graduate in chemistry, materials science, chemical engineering, or biomedical engineering to join our research team as a Research Scientist/Engineer. This
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applied physics other related disciplines. Demonstrated knowledge in at least one of the following areas: porous media flow computational fluid dynamics (CFD) pore-network modelling lattice Boltzmann method
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contribute to research and policy addressing the escalating issue of the consumption of image-based sexual abuse (IBSA) and child sexual exploitation material (CSEM) online. The project is based at Flinders
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, internal student and commence by 1 January 2026 Have a background in material/mechanical/chemical engineering or chemistry or physics or similar field, and First class or second-class division A bachelor
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Ben Boyd and has a focus on understanding the impact of structure in materials on their processing by the body, with a view to understanding the link between structure and function in drug and nutrient