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for controlled release of active agents, produced through extrusion and reactive extrusion processes. Key responsibilities will include: Research: Focus on developing melt-based biodegradable composites using
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Electronics Systems Engineer Research Fellow (Level B), Smart Control Systems Engineer Join a future-focused research initiative developing the next generation of smart wind turbine blades. As part of
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Multiple Continuing (Tenure-Track) Academic Positions, School of Electrical and Computer Engineering
on science, medical and societal applications: Design Automation Embedded and Cyber-physical Systems Machine Learning and Artificial Intelligence Quantum Devices and Systems Robotics Security and Dependability
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Perform quality control of sample preparation and participate in improving sample-preparation techniques 1-year fixed term, full time position based in Hobart About the opportunity The Lapidary Technician
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and profile prospective students for targeted outbound campaigns that drive funnel progression. Track student engagement via CRM and automation platforms to uncover follow-up opportunities and drive
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Multiple Continuing (Tenure-Track) Academic Positions, School of Electrical and Computer Engineering
levels with demonstrable strong research experience in, but not limited to, the following areas, with particular focus on science, medical and societal applications: Design Automation Embedded and Cyber
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control and driving continuous improvement. Proven ability to lead, manage, and motivate high-performing teams with a commitment to professional development and high-quality, timely service delivery
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such as reparative description, persistent identifiers, and automation. Substantial knowledge of information resources, services, and publishing trends relevant to academic libraries. This includes
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maintaining quality control of documentation and databases. Working closely with scientists, clinicians and research committees, the role supports the safe and efficient conduct of research within a dynamic
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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