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/admissions/entry-requirements/minimum . Candidate Requirements Undergraduate honours degree or Master's by research degree in a relevant discipline (Computer Science, Robotics, Engineering or others related
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(Department of Data Science and AI in the Faculty of Information Technology) and Associate Professor Susan Wei (Department of Econometrics and Business Statistics in the Faculty of Business and Economics
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Professor Kristian Rotaru (Department of Accounting, Monash Business School; Deputy Director, Opportunity Tech Lab) Dr Mor Vered (Department of Data Science & AI, Faculty of IT) Dr Estelle Wallingford
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PhD Scholarship in Digital Mapping of Homemade & DIY Cultural Economies in First Nations Communities
an important part of an ARC-funded project Mapping Australian Homemade, Amateur & Do-it-Yourself Cultural Economies conducted by Professor Paul Long, Dr. Delvin Varghese, Associate Professor Shane Homan, Dr Ali
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Australian Research Council (ARC) Funded PhD Opportunity at Faculty of Engineering: High-Speed Rail and Sustainable City Sizes in Australia Location: Clayton campus Department/Unit: Monash Institute
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PhD Scholarship for a Design-Led Research Program on the Future of CT Imaging in Distributed Care Job No: 680923 Location: Caulfield campus Employment Type: Full-time Duration: 3-year fixed-term
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University under the supervision of Professor Tim Dwyer at Monash University, Australia’s leading computer graphics researcher. Please note that this opportunity is limited to applicants who are legally
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, designed to contribute to the Laureate Fellowship agenda, supervised by Professor Sarah Pink and one or more appropriate supervisors. You will also collaborate in team projects within the research programme
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-term appointment Remuneration: The successful applicant will receive a tax-free stipend, at the current value of $36,063 per annum 2025 full-time rate, as per the Monash Research Training Program (RTP
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the research outcomes, skilled workforce, technology and partnerships to improve human health locally and globally. Supervisory team The project will be co-supervised by Associate Professor Shalini Arunogiri