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PhD Scholarship This project aims to improve rare earth element recovery by designing peptide-polymer composites inspired by lanthanide-binding proteins using machine learning and computational
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Officer to join a cutting-edge research initiative focused on developing innovative, nature-based solutions for treating alkaline mine wastes. Using an integrated approach of extremophiles-plants, this role
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demonstrated ability to communicate and interact with a diverse range of stakeholders and students. Demonstrated knowledge in Quasi-Monte Carlo methods and/or finite element analysis and/or machine learning is
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finite element and ray tracing techniques Experience with optical and electrical characterisation Experience with fabrication of light management structures (e.g. AR coatings, Bragg reflectors, photonics
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below, attaching as a separate document: Essential A PhD in materials science, photovoltaics, photonics or a closely related discipline Expertise in optical modelling using finite element and ray tracing
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software, and applying computational methods and analysis tools, including finite element analysis (FEA), to optimise designs. Providing leadership and supervision to engineering staff, ensuring research
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process. About You Completion or near completion of a PhD in geophysics. Background/skills in finite element numerical modelling, geophysical Inversion theories, optimisation and parallel computing. Skills
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to organise work to meet finite deadlines. • Ability to work collaboratively as part of a professional financial team. • Experience working in high volume contact processing centres. Proven experience working
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broad business content, enabling students to develop relevant business skills. Work-Integrated Learning (WIL) is a crucial component of a UNSW Business degree. Through placements or project work
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patients undergoing surgery or endoscopy. The successful applicant will maintain the biobanking program and will be responsible for extracting DNA/RNA from limited, finite tissue. This position also involves