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analysis using industry-standard software platforms such as PowerFactory and/or PSS®E etc. Proficiency in at least one relevant programming environment (e.g., Julia, Python, OpenDSS, MATLAB) for large-scale
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. Experience in the administration of Linux or Unix systems. The ability and willingness to spend time learning not only the specific systems you will be responsible for maintaining, but also the systems
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in change management, and an outlook which recognises and focusses on opportunities for learning and growth. A history of professional and respectful behaviours and attitudes in a collaborative
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platforms, exploring novel computational and machine learning approaches, and helping researchers make effective use of genomic data across health, environmental and biosecurity domains. You'll thrive in
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telecommunications engineering, software engineering, signal and image processing, machine learning, and related fields. For information and contacts details please see the Space & Astronomy Project List . Location
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image processing, machine learning, and related fields. For information and contacts details please see the Mineral Resources Project List . Location: Clayton, Brisbane and Perth (refer to the project
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range of disciplines including computer science, software engineering, biomedical engineering, environmental science, machine learning and related fields. For information and contacts details please see
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beyond the bedside, clinic or ward? CSIRO's Australian e-Health Research Centre (AEHRC) is seeking a Clinical Information Modeller/Informatician to join the Sparked AU FHIR Accelerator team and help shape
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proficiency in Microsoft applications including Word, Excel, PowerPoint, Outlook, Teams, and OneDrive; and ability to quickly learn specific corporate software packages (such as SAP etc). Demonstrated ability
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teams, technical users and other priority groups. Apply learning, communication and behaviour change principles to support cyber-safe behaviours and improve engagement with cyber security. Use data