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Supervisors: Prof. Gabriele Sosso, Dr Lukasz Figiel, Prof. James Kermode Project Partner: AWE-NST This project utilises advancing machine learning techniques for simulating gas transport in
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the molten salt/metal interface at multiple scales, from atomistic to mesoscopic, with the goal of identifying the fundamental mechanisms driving corrosion. Moreover, you will use this knowledge to suggest
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position is available at the Department of Pharmacy , Faculty of Health Sciences , within the Microbial Pharmacology and Population Biology (MicroPop) research group , led by Prof. Pål J. Johnsen
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Supervisory Team: Prof Neil Sandham PhD Supervisor: Neil Sandham Project description: This project is focused on scale-resolving simulations (large-eddy and direct numerical simulation) combined
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are invited to undertake a three-year PhD programme in partnership with industry to address key challenges in on-platform manufacturing engineering. The successful candidate will be based at the Rolls-Royce
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2025 Apply now This PhD position is available in Prof. Janneke Jehee's lab at the Donders Institute for Brain, Cognition and Behaviour. You will work on studies of visual perception and decision-making
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for considering components independently. Inspired by so-called contract theories from computer science, such modular control theory will be based on the introduction of assume-guarantee contracts for control
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to the development of a control theory that is inherently modular, i.e., that allows for considering components independently. Inspired by so-called contract theories from computer science, such modular control theory
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), Be an Australian resident or citizen or meet English requirements of the University Interested candidates are to contact Dr. Veluswamy (Ganesh.Veluswamy@rmit.edu.au ) and Prof. Kalpit (kalpit.shah
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of micropollutants and how micropollutant removal be verified? What are the mechanisms for micropollutant removal with these membranes? What are the limiting factors to micropollutant removal, and which membrane