286 parallel-computing-numerical-methods scholarships at Curtin University in Australia
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endorsed Curtin SHAPE activities Please note: The Scholarship for High Achievement and Performance Engagement (SHAPE) currently recognises the following programs: AHEAD Yr7 Program AHEAD Yr8 Program AHEAD
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regeneration in lizard cartilage Investigate growth, resorption and remodelling in shark mineralised tissues as a diagnostic tool. Significance The current method used to age sharks for fisheries management
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available information or data exist about the numbers or characteristics of people held in police custody, or their experiences of detention. Using a mixed methods qualitative research design across
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methods for elemental tracking of Ca under biotic and abiotic environments in a range of substrates and microbial metabolic pathways using stable isotopes. A 3 year PhD project available at Curtin
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Cohort Studies Research Support Program (2024) to undertake a program of work into dementia risk prediction and reduction in WA and nationally. We have secured funds to engage with a design team to develop
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an ARC Linkage Project focused on developing an autonomous system for detecting and quantifying structural damage in infrastructures (e.g., bridges, grain silos) using computer vision, digital twins, and
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this scholarship the faculty is seeking to support and develop students who are committed to gaining their first degree in one of the numerous disciplines offered within the Faculty of Business and Law. Student type
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experienced supervisors, each with over 20 years of expertise in machine learning and computer vision. These supervisors have strong track records of research excellence, with numerous publications in top-tier
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to three years of study (with the potential for extension) Scholarship Details Maximum number awarded 1 Eligible courses The successful candidate must enrol into a Doctor of Philosophy (PhD) program
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peer-based programs across the four streams. Training sessions using experiential learning techniques will be provided to program staff and community members. Data collection methods will include pre