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biological samples (mould air and surface sampling) across study residences conducting quantitative data analysis across multi-site time-series IEQ datasets, including clustering, regression, and statistical
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David Levinson , the successful candidate will contribute to the development of hybrid quantum-classical modelling approaches that support improved analysis, simulation, optimisation, and decision making
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of hybrid quantum-classical modelling approaches that support improved analysis, simulation, optimisation, and decision making under uncertainty. The role will suit a researcher with strong technical
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imaging data acquisition and analysis experience running clinical studies and experience collecting chronic pain patient quantitative sensory testing data experience with patient recruitment and assessment
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of hybrid quantum–classical modelling approaches that support improved analysis, simulation, optimisation, and decision making under uncertainty. The role will suit a researcher with strong technical
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in medication safety or nursing practice undertaken in the Australian health care system. Experience in preparing human research ethics applications. Demonstrable skills in the analysis of quantitative
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sensor arrays (temperature, relative humidity, CO₂, TVOC, PM2.5) and collecting biological samples (mould air and surface sampling) across study residences conducting quantitative data analysis across
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, implementation, and analysis of clinical trials and observational studies. Collaborate with multidisciplinary teams including pharmacists, anaesthetists, surgeons, and data scientists Prepare manuscripts for peer
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analysis, manuscript preparation, and coordination of collaborative research activities. Contribute intellectual input to ongoing and future renal research projects and translational therapeutic programs
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area such as cell biology, molecular biology, microscopy, small animal experiments, data analysis and disseminating this skill base to other members of the team at CPC as well as external researchers