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as well, resulting in increased survival. Methods: The laboratory uses world-class big-data omics analysis of blood immune cells, including RNAseq, epigenetics, multicolour flowcytometry (up to 27
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scholarship is available. One scholarship is available. Eligibility requirements: have a first-class Honours or Master's or equivalent degree in a relevant discipline of engineering/science be an Australian
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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
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conducting mixed-method research projects, statistical and qualitative data analysis and academic writing are encouraged to apply. This scholarship will be governed by RMIT University's Research Scholarship
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(or equivalent) in a relevant discipline (e.g., information science, sociology, digital humanities, digital health, computer science, information systems, user experience design) Have strong social research
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interested if you have some background in these areas and interest to learn and work with others in the team in the other areas. This scholarship will be governed by RMIT University's Research Scholarship
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work with others in the team in the other areas. This scholarship will be governed by RMIT University's Research Scholarship Terms and Conditions . This scholarship will be governed by RMIT University's
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by the Researcher is subject to national tax legislation. Open now. Open now. January 24 2024 January 24 2024 One scholarship available. One scholarship available. AUFRANDE is a PhD training program
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contact information for two referees. This scholarship supports a PhD candidate in physical chemistry and pharmaceutical sciences, focusing on nanotechnology and gene delivery. It includes collaboration
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This scholarship is jointly funded by a leading computer vision company in Australia and the STEM College of RMIT University. The research includes investigation into automated product quality