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comparing model predictions of observed transient data Experience in software development with larger scientific codes; in particular, expertise in Fortran, C, Python, and/or build systems are of advantage As
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design, advanced laboratory work, and biosensor testing. Developing wearable biosensing technologies, particularly microneedle‑based systems. Contributing to the academic environment through publications
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and data-driven insight. Your work will span engineering design and testing, laboratory and field experimentation, trial coordination, advanced data analysis, and research administration. You will plan
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data, link administrative datasets, and establish a new cohort. It will examine how alcohol availability affects adolescent and young adult health, informing policy, services and economic responses
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qualitative research and familiarity with analytical software (e.g., SPSS, Qualtrics,NVivo, RevMan) Experience working with participants with neurological conditions will be highly regarded. About Monash
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for scenario testing and policy evaluation • Produce high-quality publications and support grant applications • Engage with project partners and stakeholders across government and industry • Contribute to team