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a digital format. Computer visions techniques have been recently developed for structural health monitoring of civil structures, including vibration displacement measurements, crack detection and
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modelling astrophysical phenomena. The PhD project will focus on developing theoretical methods to generate accurate data to meet this demand. The student will gain expertise in high-performance computational
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Recipients must complete their milestone 1 within 6 month of enrolment and remain enrolled on a full-time basis for the duration of the scholarship. Enquiries A/Prof Fei Sim (T.Sim@curtin.edu.au ) Scholarships
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Please contact Prof. Debbie Silvester-Dean (d.silvester-dean@curtin.edu.au ) with any enquiries. Scholarships Email Alert Sign up now
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number awarded 3 Eligible courses The successful candidate must enrol into a Doctor of Philosophy (PhD) program (full-time study). Eligibility criteria The successful candidate must meet the minimum
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objectivity and consistency. Recent studies have highlighted the potential of computed tomography (CT) scans to provide objective markers of frailty. Metrics like Psoas Muscle Density (PMD) and Kidney to Body
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the area of structural health monitoring of civil engineering structures on an Australian Research Council Early Career Industry Fellowship project titled, 'Transforming Smart Bridge Monitoring by Computer
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Curtin University Background in genetics, bioinformatics, epidemiology, biostatistics, or related fields Demonstrated computational skills and experience with genomic or health data analysis Commitment
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) implement the COMPAS survey across two waves at St John Ambulance, (c) develop a predictive algorithm that can predict suicidal intentions and behaviours 12 months later, (c) use the algorithm to stratify
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Prof Zongping Shao’s research lab, and are also available in WA School of Mines (WASM). The proposed research is strongly aligned with the hydrogen energy technology research at WASM. The success