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. The Portfolio is integral in bringing the RMIT strategy to life, across the globe. Each of these functions supports the global operations of the University both directly as well as through its controlled
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library information systems, including electronic and print resources, metadata control, and collection maintenance. This also involves analysing complex statistics and generating evidence-based reports
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. The Portfolio is integral in bringing the RMIT strategy to life, across the globe. Each of these functions supports the global operations of the University both directly as well as through its controlled
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Automated Program Repair (APR) is the grand challenge in software engineering research. Many APR methods have shown promising results in fixing bugs with minimal, or even no human intervention
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network services, and provides guidance to colleagues within the Global Networks Team. Strong Python scripting skills are mandatory for this position, as you will be expected to automate processes, develop
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Status: Open Applications open: 30/10/2024 Applications accepted at any time View printable version [.pdf] About this scholarship Description/Applicant information Applications are open for the 2024 HDR Scholarship in flow assurance and corrosion mitigation at Curtin Corrosion Centre. Curtin...
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editing (e.g., CRISPR/Cas9) and modular cloning techniques to engineer yeast strains. Implement metabolic engineering strategies to optimise pathway flux and reduce by-products. Collaborate with automation
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tasks and assisting with the production and control of project meetings, documents and reports maintain and manage project data using REDCap data system, ensuring data integrity, and confidentiality
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location About This Opportunity Bring your cloud, automation, and infrastructure expertise to this impactful role supporting UQ’s secure and highly available computing environments. As part of the ITS
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Time series are an ever growing form of data, generated by numerous types of sensors and automated processes. However, machine learning and deep learning methods for analysing time series are much