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that our research programs, employment engagements, collaborations and partnerships comply with Australia’s evolving national security and defence legislation, restrictions, sanctions and controls. This role
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, geochemistry, mineralogy) Experience with established and emerging characterisation technologies (e.g., core scanning platforms/technologies, automated mineralogy) An understanding of metallurgical and
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Multiple PhD Scholarships available - Cutting-edge research at the frontiers of Whole Cell Modelling
the synthesis and assembly of these cell surface proteins. A major and complex means by which bacterial gene expression is regulated to control surface protein production depends on RNA-RNA interactions
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to ensure continuous improvement in service and food and beverage offering Generate new ideas in line with market trends to innovate process and practice, including through technology and automation
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formulation and delivery of initiatives relating to planning and performance activities. Work collaboratively with a range of stakeholders to design and maintain delivery of automated, operationalised solutions
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Structures to compliment our Biomedical Engineering, Robotics, Artificial Intelligence, Advanced Manufacturing and Automation disciplines. To be successful in this role, you have a doctoral qualification in
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their performance both empirically and through controlled user studies. Required knowledge Strong background in computer science in general Familiarity and understanding of basic principles underlying automated
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services and enhances the student experience. You will develop student and staff-facing forms, reports, automations, and dashboards, and configure key management tools. Success in this role requires strong
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an equivalent level of knowledge and practical experience in biospecimen processing, with expertise in molecular extractions from diverse materials using both manual and automated methods. A sound understanding
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(DSS) across both laboratory and field environments. You'll collaborate closely with a multidisciplinary team to design experiments, develop software tools, and leverage machine learning to automate and