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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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capabilities in agricultural disease management. Your responsibilities will include: Lead the development and application of novel methods/pipelines for processing and analysing satellite, airborne and proximal
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in relevant scientific/research methods, techniques and protocols. Practical lab experience and familiarity with electrochemical or metallurgical processes will be highly regarded. Demonstrated
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and teaching. Expertise in quantitative and qualitative research methods. Demonstrated capacity to lead interdisciplinary teams and mentor emerging scholars. Deep understanding of research translation
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equivalent experience. A passion for research that makes a difference and influencing public policy discourse. Demonstrated expertise in data analytics and econometrics methods and their application to real
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undergo and maintain an up-to-date Working with Children Check. Your New Team: The Justice Health Group The Justice Health Group is a multidisciplinary and mixed-methods research team working to improve
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Faculty of Science and Engineering and make tomorrow better. Applicants with disability who require adjustments, or alternative methods of communication in the recruitment process can contact our friendly