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About the role: This is an exciting opportunity to join one of the newly announced Gram-negative Antimicrobial Innovator (Gr-ADI) programs, launched by the Wellcome Trust, the Gates Foundation, and
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engineering practicums. Strong experience coordinating complex student placement programs with consistent compliance, documentation, and stakeholder support. Full-time (1.0 FTE) appointment on a fixed term
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University of New South Wales | Canberra, Australian Capital Territory | Australia | about 11 hours ago
Apply now Job no:505246 Work type:Casual Location:Canberra, ACT Categories:Tutor, Other, Demonstrator The School of Engineering and Technology (SET), UNSW Canberra extends a warm invitation to join
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Full time, 12 month fixed term opportunity Utilise your expertise to provide support for Human Resource Workforce Systems users across the University through ensuring usability, data integrity
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undergraduate/postgraduate classes in areas of the Systems and Control area, as well as joint courses with other Electrical Engineering disciplines that overlap with Systems and Control. You will have the
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background and strong educational experience in robotics engineering and energy systems. To be suitable for this role, you will have an experimental expertise in medical robotics, assistive technologies
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of the common first year: Aerospace engineering Chemical engineering Civil engineering Electrical and computer systems engineering Environmental engineering Materials engineering Mechanical engineering Robotics
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Engineering Indigenous Excellence Scholarship Achieving Potential Scholarship for Excellence The Engineering Indigenous Excellence Scholarship has been introduced to support Indigenous students
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centre for education and research across the humanities, arts, and social science disciplines. The Faculty of Arts and Social Sciences at Sydney is the oldest and one of the most comprehensive of its kind
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Federated learning (FL) is an emerging machine learning paradium to enable distributed clients (e.g., mobile devices) to jointly train a machine learning model without pooling their raw data into a