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. Proficiency in scripting (e.g., Python, Bash) and working within Linux-based computing environments. Experience with high-performance computing resources and automated data pipelines. A track record of
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. Experience using high-performance computing resources and automated data pipelines. Strong publication record and ability to communicate scientific results effectively. Capacity for collaborative work in
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predictably to in-context demonstrations? What controls their ability to generalize, even when it contradicts their training? This project will involve developing a theoretical framework to explain in-context
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include: Follow all PPE, safety, and biosecurity procedures. Perform cage cleaning, sterilisation, and general maintenance to maintain a clean and safe facility. Conduct quality control checks on equipment
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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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are effectively managed. About you Relevant tertiary qualification in Occupational Health & Safety or demonstrated equivalent competency. Strong ability to assess hazards and implement practical controls across a
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providing technical support and operating security controls to ensure technical and information security across the various platforms at the University. You will also support the implementation of information
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enthusiastic individual to join our dynamic team and contribute their unique skills. The Plant Accelerator® has a range of automated phenotyping systems collecting water use data and images over time, as
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techniques, theoretical modelling, and precise synthetic control – have significantly improved the activity, selectivity, and stability of CO₂-to-alcohol conversion. Key catalyst systems include Cu-based
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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