47 coding-"https:"-"FEMTO-ST"-"L2CM"-"https:" positions at The University of Queensland in Australia
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Comply with University policies, including the Code of Conduct, WHS, sustainability, and ESOS obligations. About RAPID The Reusable and Accessible Public Interest Documents (RAPID) project sits within
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comfortable working across simulation, coding, and data-driven modelling. Key responsibilities will include: Research: Interpret CFD models of pilot and lab-scale bioreactors (e.g. mixing time, kLa, flow fields
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quantitative and analytical skills, with confidence using spreadsheets and/or coding for analysis Experience with process modelling and TEA tools (e.g., SuperPro, discounted-cash-flow modelling, bioprocess
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, including but not exclusive to: The University’s Code of Conduct . Requirements of the Queensland occupational health and safety (OH&S) legislation and related OH&S responsibilities and procedures developed
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the University’s Code of Conduct, OH&S legislation, sustainability responsibilities, and ESOS Act requirements. About You An undergraduate degree in a relevant area, or equivalent experience and/or training. Strong
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and optimise code and digital-twinning platforms with industry partners, produce high-quality research outputs and reports, contribute to funding applications, and deliver training workshops and
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, policies, and the Code of Conduct. Perform other duties as required. This is a teaching-focused position. Further information can be found by viewing UQ’s Criteria for Academic Performance . About the School
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University’s Code of Conduct. Leave restrictions may apply during peak periods as determined by the Senior Coordinator, Student Administration and/or Manager, Student Administration. The Student Administration
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University policy relevant to the duties undertaken, including but not exclusive to: The University’s Code of Conduct . Requirements of the Queensland occupational health and safety (OH&S) legislation and
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their delivery. Experience with the geological interpretation of geophysical data. Experience with code development and the potential to build novel software solutions for data interpretation will be viewed