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skills across diverse teams and stakeholders. Experience with data collection methods (e.g., surveys, interviews, reviews, focus groups). Proficiency in data management and analysis using software such as
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, competitive grant success, and national or international presentations. Proficiency in LC-MS-based proteomic analysis for biomarker quantification in complex biological samples. Understanding of clinical
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of research activities. Support the dissemination of research outcomes through appropriate channels and outlets. Undertake discipline-appropriate research activities, e.g. surveys, literature reviews, data
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for practical applications in biomedicine. Experience in conducting molecular dynamics simulations, including free energy calculations and enhanced sampling techniques, involving lipid assemblies, proteins
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sampling missions design of machine learning systems for real-time obstacle detection, terrain analysis, and environmental adaptation in extreme environments implementation of multi-constraint optimisation
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: Where teaching is undertaken achieve teaching quality as indicated by approved surveys and outcomes for students and improve or innovate where appropriate in response to feedback. Supervision and
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behaviour during bushfires, including the conduct of online surveys with bushfire survivors to study evacuee transport behaviour and the analysis of quantitative data, involving the development of statistical
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of these technologies on clinical samples. This role offers a unique opportunity to work on translational projects that span fundamental discovery to clinical application, in collaboration with engineers, chemists
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unique data collection opportunities, including large-scale agricultural household surveys, measurement experiments (such as DNA fingerprinting for plant variety identification), and impact studies
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and implementing geophysical surveys (including but not limited to seismic surveys with fibre optic sensors). Demonstrated ability to supervise student research projects. A history of successful