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framework to identify and prioritise components suitable for metal additive manufacturing. Applying AI, data analytics and machine learning to evaluate 2D and 3D design data. Collaborating with defence
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of proven academic excellence and will have already made significant personal contributions to their discipline. They will have gained high-level experience with a research component through studying
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in experimental design and statistical analysis of experimental data. An established publication track record in relevant fields. Commitment to working effectively within team environments. Candidates
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, stakeholder consultation, data collection, qualitative and quantitative data analysis and reporting. Must hold registration as a midwife with the Nursing and Midwifery Board of Australia. Evidence of a record
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Job Reference:1041374 Are you a hands-on science enthusiast with a flair for research, lab work, and data analysis? Join a world-class research team driving innovation in resource recovery and
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to research-based activities, including the development of new data analysis algorithms, processing and analysis of field data, and participation in the fieldwork. Your responsibilities will include: Conduct
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quality, evidence-based research and analysis, our research informs decision makers and stakeholders of the economic challenges to achieving sustainable and equitable growth and prosperity, with the express
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trials. Experience developing or delivering research translation and impact strategies and outputs. Hands-on experience with quantitative data analysis. *Aboriginal and Torres Strait Islander people