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in an innovative and interdisciplinary approach. A background in science and engineering or social science and policy analysis is desirable. Experience with systems modelling (e.g. system dynamics
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polymer chemistry or tissue engineering. Strong skill set for data analysis and interpretation, coupled with excellent written and verbal communication abilities. Ability to work effectively in a
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demonstrated responsibility, perseverance, and commitment to achieving project goals and meeting deadlines. Desirable Skills: Experience with biomechanical analysis; sports science research or athlete
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Khaksar Other supervisors: Professor Murali Prasad (IITK) Projections indicate the aged care industry in both developed (e.g., Australia) and developing economies (e.g., India) will face a significant
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formation. 4) Computational analysis of reaction systems and catalyst performance from macroscopic to microscopic viewpoints. Study modelling methods to evaluate structural stability, equilibrium gas
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bibliometric analysis 1995–2020 as an emerging research cluster in drowning prevention research. DEEP works towards the goals of the WA Health Promotion Strategic Framework, WA Sustainable Health Review
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models for structural health monitoring of civil engineering structures. Digital twin models are used to interpret real time information from videos and images aided by computer vision techniques
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conducted. Second, the project will use a task analysis methodology (Sharbanee et al., 2019; Greenberg, 2007) to create a sequential model of the process that couples go through to resolve imbalances in
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traction as a key tool for biodiversity monitoring. However, there remain significant challenges in its widespread uptake. This project will investigate the soundscape features that indicate intact and
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on testing the sensitivity of an Australian collection of E. necator isolates to a combination of both new and older DMI fungicides. This analysis will allow for the establishment of different sensitivity