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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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of potential options for implementation. This will include prototyping and testing of various implementation options, analysis and documentation of results. Project 2 - Future Power System Modelling: As part of
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using focus groups and task group methodology. Members of our team have conducted a systematic review and meta-analysis of the population attributable fraction (PAF) for dementia associated with 61
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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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explore unconventional ideas, develop computer algorithms for data analysis, create new experimental approaches, and apply the technique in areas like biomedicine, materials science, and geology. My group
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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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Engineering. Familiarity with partial differential equations (PDEs) numerical analysis and / or data science and statistics will be an advantage. Number of scholarships: One Contact person: Associate Professor
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inform or design future experiments. As a researcher in my group, you would not only develop imaging theory and analysis tools to answer science questions about where the atoms are, what they are, and how