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to individualise tumour type, associated biomarkers and genomic characteristics to high precision. The resulting multipurpose machine learning workflows will lead to rapid precision diagnoses and effective
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University. The PhD candidate will be working with a team of distinguished researchers: Professor Charmine Hartel (Department of Management, Monash Business School; Director, Opportunity Tech Lab) Associate
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at building a competitive and capable workforce that will drive the growth of the Australian tech sector. With our program, the NGGP grants will fund a first cohort of 25 higher degree research (HDR) student
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documented prior to the commencement of enrolling into the program. Enquiries Associate Professor Russel PJ Kingshott - R.Kingshott@curtin.edu.au Scholarships Email Alert Sign up now
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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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CSIRO IPhD Scholarship - AI-empowered visual recognition system for dairy cow identification, health and behaviour monitoring and detection The CSIRO Industry PhD Program (iPhD) is a four-year
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Centre for Health Economics, Monash Business School, PhD Program 2025 Job no.: 625101 Location: Caulfield campus Duration: 4.5-year fixed-term appointment Employment type: Full-time Remuneration
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following documents to Associate Professor Liton Kamruzzaman, md.kamruzzaman@monash.edu by 31 July 2025: A cover letter outlining your research interests and indicating your preferred PhD theme(s) within
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and Research Skills Training program. This project will be undertaken in collaboration with Associate Professor Peter Smitham, Professor Dominic Thewlis and Adjunct Professor Mark Rickman from
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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