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inference. PhD Program The project is based in the Centre for Health Economics, a large and active economics research group within the Monash Business School in Melbourne, Australia. As a candidate in the CHE
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Machine learning has recently made significant progress for medical imaging applications including image segmentation, enhancement, and reconstruction. Funded as an Australian Research Council Discovery Project, this research aims to develop highly novel physics-informed deep learning methods...
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an outstanding opportunity for a Teaching-Focused Senior Lecturer to expand their impact at program and discipline level and contribute to an innovative, student-centred MD program. Key
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Application Deadline 21 Jan 2026 - 00:00 (UTC) Type of Contract Other Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff
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This project explores the development of digital tools that measure the carbon footprint and nutritional impact of meals to support sustainable eating. It aims to integrate environmental and nutritional data into a user-friendly platform, enabling consumers, restaurants, and policymakers to make...
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Student Engagement activity and supporting our student ambassador program. In this role you will… Provide broad administrative support to the future student engagement team. Act as the first point of
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Part-time (0.4 FTE), fixed term opportunity for 13 months Play a central role in the development and delivery of teaching in units Postgraduate Program of the Master of Medicine Base Salary starting
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Manager Scholarships and Prizes in the day-to-day operations and provide administrative support to a multi-million-dollar university scholarships and prizes program. This program is committed to keeping
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program working alongside other specialists in a highly collaborative and supportive team Full-time, continuing roles based at Kensington Campus $127,351-$143,489 + 17% superannuation Hybrid/Flexible
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analysis, contextual analysis, audio feature extraction, and machine learning models to identify and assess potentially dangerous content. Similarly, computer vision models are implemented to analyse images