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to early pilot-scale operation, with a strong emphasis on: High-cell-density and fed-batch cultivation Media and feeding strategy optimisation Process robustness and reproducibility Scale-down and early
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access to large-scale biological datasets, high-performance and cloud-based computing resources, and work in close collaboration with experimental biologists and external computational partners
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performance validation. Publish results in high-impact journals and present at leading conferences. Collaborate directly with industry partners to ensure practical translation of research outcomes. About you We
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to early pilot-scale operation, with a strong emphasis on: High-cell-density and fed-batch cultivation Media and feeding strategy optimisation Process robustness and reproducibility Scale-down and early
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advanced scientific computational techniques and research related software packages an understanding of modern scientific computing tools, including high-performance and high-throughput computing
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durability for various practical applications. You will be given the opportunity to work collaboratively with a high performing team with increasing capability and capacity expanding research areas to double
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projections. Demonstrated experience in working with large data sets. Strong programming skills (e.g. Python, R) and ideally experience in high-performance computing. Demonstrated ability to work in a team
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industry partners, and contributing to a collegial and high-performing research environment. This position offers the opportunity to build your research profile within a leading research-intensive university
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Composite Manufacturing CRC (ACM CRC ), and the University of Sydney . This industry-backed initiative focuses on high productivity metal composite coatings designed for extreme industrial environments. Laser
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correlations to understand catalytic pathways under high-voltage conditions. Systems Analysis: Perform energy efficiency calculations and scaling analysis to bridge the gap between lab-scale discovery and