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will involve a combination of simulation and statistical modelling. Your key responsibilities will be: Lead analysis of State response data to estimate detection, occupancy, and spread of PSHB Engage
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to help monitor and combat online social influence and promote a healthy information environment. The successful candidate will join the School of Computing and Mathematical Sciences as part of a project
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through advanced statistical analysis in disaster scenarios. Community engagement in disaster affected areas. Ability to work autonomously whilst displaying a strong commitment to work in a team environment
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quantitative research through advanced statistical analysis in disaster scenarios. Community engagement in disaster affected areas. Ability to work autonomously whilst displaying a strong commitment to work in a
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understanding (or be capable of rapidly obtaining a good understanding) of concepts from discrete mathematics in relation to graph theory, Boolean function theory and related topics. An interest in applying
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predictive control, and/or reinforcement learning. PhD (or soon to be completed) in engineering, applied mathematics, or computer science, with an ability to start in mid-late 2025 a research track record
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or a related field (e.g. statistics, risk management, economics, quantitative finance) Proven research experience in aged care, longevity, or health risk Strong skills in data analysis and computational
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analysis, visualization, and statistical analysis. Strong record-keeping skills. Excellent interpersonal and communication skills. Self-motivated with the ability to prioritize tasks and meet research