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School of Electrical Engineering and Computer Science Part-time (40%), fixed-term position through to April 2028 Base salary will be in the range $137,542.79 - $158,351.30 + 17% Superannuation
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of Industry Science and Resources in partnership with the Australian Academy of Technological Sciences & Engineering (ATSE) and the Australian Academy of Science. The program aims to establish a global hub for
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statistical analyses of large genomics datasets related to cardiovascular disease. Establish a research program, collaborate on research projects, seek and manage research funding, publish in reputable journals
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and to perform them routinely at a high level of accuracy, efficiency and independence. The ability to plan, execute and interpret research in a semi-independent/independent manner. Ability to work as a
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the performance characteristics of the OLED. Key responsibilities will include: Research: Establish a research program, collaborate on research projects, seek and manage research funding, publish in reputable
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profile in polymer science/engineering. In this position you will work with Professor Bronwyn Laycock on delivering against the research program of the newly awarded ARC Discovery grant on Controlling
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program focused on rheology, grains, size reduction, food processing, and beta-glucan extraction, incorporating best-practice research methodologies. Publish high-quality research in reputable journals and
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polyurethane block copolymers for urea coatings. Research outputs will be published in high-quality outlets, and applications for competitive funding will be pursued. Collaboration with colleagues on joint
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their discipline. At this level it is expected that in incumbent will efficiently manage service and engagement roles and activities. Key responsibilities will include: Develop a research program that contributes
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. Publish research outcomes in high-impact journals and present findings at national and international conferences. Secure competitive research funding through grants, industry contracts, and other sources