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control, sensing, or digital manufacturing. Develop and test embedded control systems, including the use of microcontrollers, PLCs, and industrial automation platforms. Assist in the design and fabrication
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frameworks such as Puppet, Chef, Docker, Terraform, CloudFormation. Proven experience with Linux or Windows command line, shell scripting, automation of common tasks, and configuration of system monitoring
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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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also involves bids for dominance, as the couple negotiate who is going to take leading and following roles in setting their agendas. If there are chronic imbalances in dominance and submission within a
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delivery for automation and integration, agile methodologies, and source code revision control like Git, SVN. Containerisation experience (Docker, Kubernetes) For full details about this role please review
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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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Job no:520887 Work type:Full Time Location:Crawley Categories:Information Technology Lead UWA’s digital quality assurance through manual and automated testing. Play a pivotal role in enterprise
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role is key to developing and coordinating a new Information Governance function, focused on embedding strong governance controls across policies, systems, and processes. The successful candidate will
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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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skills. High level of proficiency in Office 365, including advanced Excel and PowerPoint and experience with Power BI, Power Automate platforms. Knowledge of domain-specific languages for data analysis