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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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framework to identify and prioritise components suitable for metal additive manufacturing. Applying AI, data analytics and machine learning to evaluate 2D and 3D design data. Collaborating with defence
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, biological sciences) with a Merit and a minimum average grade of 60% and substantial research component. 2. Applicants must be personable, work well under supervision and be willing to work in a
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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
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contributions to their discipline. They will have gained high-level experience with a research component through studying and researching in a number of different institutions, and have professional experience in
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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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analysis 2. Determine how consumer cognitive load affect ad-skipping behaviour by using pupillometry 3. Explore and identify the ad characteristics and elements that engage consumers by using skin
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align with the Aus-ROC CRE program of research, the focus could be clinical, epidemiology, public health, health services, psychosocial, linguistic or spatial analysis. Student type Current Students
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(1.0 FTE) appointment, suitable for someone with strong technical skills in quantitative data management and analysis, and a commitment to improving the health of marginalised populations. This role is
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delivering actionable insights that inform strategic priorities. Working closely with senior stakeholders, you will provide expert analysis and recommendations to support Curtin’s strategic planning, brand