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stability assessments and control development. You will: contribute to delivering the CfNETR project(s) in smart power system engineering; develop literature reviews and maintain data and knowledge
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atmosphere models Strong background in mathematics, physics, engineering or related field Experience in scientific computing, including C/C++, fortran, python, or MATLAB Version control and package management
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pastoris . Develop and apply controls to validate engineered pathways for accuracy, stability, and performance. In collaboration with the Automation Specialist, develop and optimise automated protocols
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Design Controls is preferred. At Level B, candidates will have demonstrated experience in applying Medical Device Design Controls. Demonstrated effective collaboration and strong communication skills
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collaborating with industry partners on a project aimed at developing kinetic Monte Carlo simulations to model epitaxial growth processes. The goal is to control and optimise the growth of nanoscale structures
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, cluster randomised controlled trials implementation science, data linkage, data science, machine learning and artificial intelligence. In this role, you will have the opportunity to engage in a series of
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to better target control measures proactively before damage occurs. Provide operational knowledge of where and when other non-target native and non-native species use mature and establishing plantations
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packaging, source code control environments and practices, particularly GitHub. Experience working with scientific research teams, promoting diversity and inclusivity. Position description: PD [Research
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on Consumer and Community Involvement in Randomised Controlled Trials (RCTs). You will contribute to a growing and dynamic team at the UQ Centre for Clinical Research, working at the forefront
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research support package of up to $50,000. Based at our Herston campus Operational Research and Decision Support for Prevention, Control and Elimination of Infectious Diseases (ODeSI) The ODeSI team has