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novel opportunity to automate and improve the frailty assessment process, aiming for greater consistency and predictive accuracy. Aims i) Develop a deep learning algorithm to autonomously detect and
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Shao, (zongping.shao@curtin.edu.au ), Professor Hongwei Wu (H.Wu@exchange.curtin.edu.au ), or A/Prof Tejas Bhatelia (t.bhatelia@curtin.edu.au ). Scholarships Email Alert Sign up now
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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
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, programming, algorithms, and data analysis skills Outstanding research skills Applicants with Master degrees by research with technical publications and research experiences in structural dynamics and
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in control systems and fluid-structure interaction. The students will be supervised by Prof Khac Duc Do and the co-CIs of the project. Student type Future Students Faculties and centres Faculty
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coordination (e.g., disasters), remote and distributed workplaces (e.g., virtual organisations), and management of civil infrastructure and services (e.g., aviation). In C2 settings, teams of heterogeneously
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or disposed of to landfill. With the advent of smaller, more dispersed craft brewers, the logistics of distribution or disposal of BSG has become more difficult. BSG is essentially grain, most commonly barley
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distribution, and kinetic parameters for step reactions. Revealing catalyst electronic structures and reaction energy barriers using ab initio calculations. Significance To date, over 70% of electricity in
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evaluation and quality improvement. The candidate will be supervised by clinician-researchers, A/Prof Alison Salt (Consultant Paediatrician) and Dr Sarah Hall (Clinical Neuropsychologist), and with support
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theoretical simulations, this project will use these data to answer fundamental scientific questions about the population, mass distribution, and evolution of black holes. It will address a community-identified