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are now open. Applications are now open. 31/12/2025 31/12/2025 1 (One). 1 (One). To be eligible: (i) be an Australian citizen or permanent resident, or a New Zealand citizen; (ii) Meet RMIT University PhD
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, including members specialising in biology, microfluidics, machine learning and clinical research from RMIT University and Leading Technology Group (LTG). LTG is an Australian group of medical research
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via RMIT University application portal. Apply via RMIT University application portal. Potential candidates must have a good hold of distributed software systems, machine learning and cybersecurity
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(or equivalent) in a relevant discipline (e.g., information science, sociology, digital humanities, computer science, information systems, media studies). Have strong social research (quantitative/qualitative
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condensed matter physics, physical chemistry or biology Possess a strong interest in biological problems using physical and chemical theory and computer-based techniques Meet RMIT’s entry requirements
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location(s) that RMIT University has approved and, if required, comply with the host institutions' procedures. The Ideal Student Skillset: Completed Honours or Master’s degree in environmental science
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) score during an Honours degree in mathematics or computer science Preference will be given to onshore students from RMIT University and other top-ranked universities Must have research experience in
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communication skills Meet RMIT University's entry requirements for the Higher Degree by Research programs The scholarship is open to both domestic and international applicants, but the applicant must be living in
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(honours) in biomedical sciences or equivalent For further information and enquires contact Professor Melissa Churchill (melissa.churchill@rmit.edu.au ) For further information and enquires contact Professor
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The project will involve critical analysis of existing academic literature, participatory and co-design with users, development of novel technology prototypes, and evaluation using qualitative and