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minimise observer variability, leading to more reliable and accurate predictions of patient outcomes. Furthermore, integrating AI-assisted frailty assessments into surgical risk scores can provide a
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performed under this internship by an Electrical/Power Engineering PhD student would support AEMO with assessing key non-credible contingency risks in future scenarios and could include: Supporting complex
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