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DPhil studentship in Materials Chemistry Title: Correlated Disorder in Functional Materials Supervisor: Professor Andrew Goodwin Start date: 1st October 2026 Applications are invited for a DPhil
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REQUIREMENTS The Department of Materials Sciene and Engineering is seeking applicants for part-time job of graduate student researcher for Summer 2026. This is for a project involving contacts to 2D
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regenerative material systems for sustainable design futures. The work investigates how biomaterials such as bacterial cellulose, plant fibres, and other bio-derived materials can be developed, tested, and
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This KTP aims to position Jesmonite as a market leader in sustainable composite materials. The project's vision is to embed environmental responsibility at the core of Jesmonite's product innovation
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numerical simulations to reproduce and predict magnetically confined fusion plasma experiments 2.Development of transport models based on simulation data and their implementation into integrated transport
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The graduate program services supervisor provides strategic leadership and operational oversight for graduate program administration within the college. This role oversees graduate program services, student records management, reporting, and alignment with institutional policies and practices....
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, a copy of or a link to your Master thesis (or a draft thereof), published articles or other relevant material such as letter(s) of recommendation (if applicable). Our Offer: We work on the very latest
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descriptors, molecular simulations, and machine learning, this PhD project seeks to predict ion-exchange isotherm parameters directly from molecular properties. These predictions will be integrated
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Scholarships Postdoctoral Scholarships Scholar Awards Distinguished Chair Scholarships Fulbright Postgraduate Scholarships allow current postgraduate students undertaking their Australian PhD to conduct research
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heavily relies on empirical determination of key model parameters. By combining protein structure descriptors, molecular simulations, and machine learning, this PhD project seeks to predict ion-exchange