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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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the opportunity to attend flagship theoretical computer science conferences to present your work, and to mentor HDR and Honours students. Your key responsibilities will be to: conduct high-quality research
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About the opportunity Established as the first computer science department in Australia, the School of Computer Science (SCS) is research intensive and has a strong tradition of research-led teaching. The
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, measure transport and machine learning on developing a novel mathematical framework for identifying reduced dynamical models of high-dimensional complex multi-scale systems. The project will develop fast
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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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Deadline 16 Apr 2026 - 00:00 (UTC) Country Australia Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related
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intelligent decision architectures, predictive analytics, and adaptive computational models that can operate in dynamic, uncertain, and high-stakes project environments. The appointee will conduct original
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Australia’s Food and Beverage Accelerator’s (FaBA) Program : Based in the Australian Institute for Bioengineering and Nanotechnology (AIBN) Full-time, 100% FTE Fixed-term position for 20 months
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engineering with rigorous bioprocess optimisation, the program seeks to deliver high-productivity, seawater-based, and resource-efficient fermentation systems that are economically and environmentally
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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