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have any questions about holding other scholarships, email scholarships@qut.edu.au Terms and conditions for Employing Queensland: Innovative Pathways to Teaching (EQuIPT) program: Send Our Best
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publication Strong programming skills and familiarity with machine learning or finite element modelling Not currently receiving another scholarship of equal or higher value Application process Future student
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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 methods, which demand extensive data and are costly, PINNs embed governing physical laws directly into the learning process. This allows effective management of limited and noisy data
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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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MACQUARIE UNIVERSITY - SYDNEY AUSTRALIA | North Ryde, New South Wales | Australia | about 2 months ago
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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schools to undertake undergraduate study at UNSW. The AAA comprises: Three adjustment factor points (included in the maximum total points) for entry into an undergraduate degree program at UNSW, except
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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