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clarity, who are able to provide feedback in a timely fashion, and who are interested in developing and applying teaching strategies to support student learning in a range of different settings. Casual
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for teaching undergraduate courses; PhD for teaching post-graduate courses) • Are available to teach face-to-face in our City campus Targeted skills and experience desirable for these casual
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Cybersecurity and Trustworthy Digital Systems Machine Learning and Artificial Intelligence Robotics and Autonomous Systems All positions are full-time, continuing (tenure-track), teaching and research roles based
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societal applications: Computer Systems and Computing Infrastructures Cybersecurity and Trustworthy Digital Systems Machine Learning and Artificial Intelligence Robotics and Autonomous Systems All positions
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. • Preference for an ability to teach at an undergraduate or postgraduate level courses such as Australian Military History / Military Ethics / Theory and Application of Land Power. • A track record (or advanced
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Cybersecurity and Trustworthy Digital Systems Machine Learning and Artificial Intelligence Robotics and Autonomous Systems All positions are full-time, continuing (tenure-track), teaching and research roles based
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) is seeking a talented academic to join as a Lecturer in Machine learning and Computer Vision. We are looking for a teaching and research academic with a strong expertise in applied AI and current
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-physical Systems Machine Learning and Artificial Intelligence Quantum Devices and Systems Robotics Security and Dependability Signal Processing Software Engineering All positions are full-time, continuing
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Science and Machine Learning Cybersecurity Software Engineering Digital Health Computer Science Education To Apply Please submit your CV and covering letter addressing your suitability for this position
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of working About You We’re seeking a proactive and relationship-driven professional to lead industry engagement for Work Integrated Learning (WIL) across the College of Business and Law. As the Coordinator