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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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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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integrated with, or operate alongside, metal detectors to deliver cutting-edge detection capabilities. Applications of this research include: Detection of subsoil layers, utilities, landmines and IEDs, UAV
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) + Finite element methods for complex flows in porous media (generalized multiscale finite elements via autoencoders, adaptive in space and time, splitting methods, and variational flux recovery) + Adaptive r
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international) Honour’s or Master’s degree (both in a relevant field), with a significant research component and with first-class honours/H1 awarded. Details of eligibility requirements, including
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includes a written research component comprising at least 3/8 of one year; or You are the lead author of a peer-reviewed publication or other research published within the last ten years. This Australian
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Degree by Research) degree to be eligible. Must possess a First-Class Honours degree, H2A (or equivalent) or a Masters degree with a significant thesis component. How to Apply The applicant needs to be in
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scholarship package totalling approximately $47,000 per annum tax exempt (2025 rate). A four year Project Expense and Development package of $13,000 per annum. A 60 day Industry Engagement component with
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scholarship package totaling approximately $47,000 per annum tax exempt (2025 rate). A four year Project Expense and Development package of $13,000 per annum. A 60 day Industry Engagement component with
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% and substantial research component. 2. Applicants must be personable, work well under supervision and be willing to work in a collaborative environment. 3. Applicants must demonstrate