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March 2025. 1 (One). 1 (One). Bachelors or master's in chemical engineering, meet English requirements of the school. Bachelors or master's in chemical engineering, meet English requirements of the school
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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
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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 biomedical engineering, mechanical engineering, or a related field. Experience in finite element modelling, biomechanics, or orthopaedic research is desirable. Strong analytical and problem-solving
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. One (1). One (1). Highly motivated and an entrepreneurial spirit Masters or Honours degrees in computer science or engineering Strong computer science skills and some experience with statistical
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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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Australia upon commencement of the PhD 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
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PhD Scholarship in Integrated Photonics for Telecommunication, Biosensing and Precision Measurements
for highly motivated and passionate PhD students to become part of our team. You will work with centre members from diverse research backgrounds in the disciplines of engineering, physics, chemistry and
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Research scholarship funded by RMIT School of Computing Technologies. The scholarship is for 3 years; there would be a fee waiver and the standard stipend. Research scholarship funded by RMIT School
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@rmit.edu.au Dr. Shao, Wei (Data61, Marsfield) - wei.shao@data61.csiro.au The successful candidate is expected to have strong motivation and evidenced skills in machine learning and computer vision