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) program. To apply, please submit your curriculum vitae and academic transcripts via email to Dr. David Broadway at david.broadway@rmit.edu.au . Prospective candidates will be invited to submit a full
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guiying.nie@rmit.edu.au . This scholarship will be supporting a PhD candidate with a keen interest in female reproductive health, particularly in the area of endometrial biology, embryo implantation and
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computer vision and machine learning methods to interpret the photovoltaic (PV) solar farm's condition and perform various inspections and anomaly detection. The research will draw from state-of-art
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(one) To be eligible for this scholarship, you must: Have a first-class Honours degree (or equivalent) in a relevant discipline (e.g., information science, sociology, digital humanities, computer
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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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Scholarships are open to domestic or international students. The successful applicant must have already applied for, or have already commenced a PhD research program at RMIT and accept Data61 scholarship
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In addition to the Industry PhD Program Scholarship of $34,000 pa (GST exempt, indexed annually at 3%), there is an industry top-up component valued at $12,000 pa (not indexed). As such
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In the PhD program, you will be involved in working with a multi-disciplinary team. You will be conducting experiments and developing phenomenological models to understand the graphite formation
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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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meet RMIT University's minimum requirements for admission to a Doctor of Philosophy (PhD) program and should hold an Honours degree (First Class) or an equivalent standard Master's degree with a