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Scholarship Terms and Conditions . This scholarship will be governed by RMIT University's Research Scholarship Terms and Conditions . For further information, you can email Associate Professor Nicolas Menicucci
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, security, and/or machine learning are preferred. To apply, please submit the following documents to Dr Hai Dong (hai.dong@rmit.edu.au). Expressions of interest should contain the following information: A one
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and Professor Katie Flanagan (UTAS). The presence in sera of pro-inflammatory cytokines has emerged as an aetiological and perpetuating factor for major depression across the lifespan. The immune system
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The PhD candidate will gain intensive knowledge in innovative processing protocols for chemical sensing and to develop data acquisition system with the Machine Learning (ML) and/or Deep Learning (DL
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drones can capture visual and thermal imaging at a very high resolution, suitable for detecting photovoltaic modules and the cleanliness of solar panels. These images and other data can be processed by
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To receive quality recommendation services, online media platform users are commonly required to hand over their personal data, including personal attributes (e.g., age, gender, location, etc.) and
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prior experience in planning and conducting mixed-method research projects, statistical and qualitative data analysis and academic writing are encouraged to apply. Interested applicants are advised
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These will help women be diagnosed earlier and get onto the correct treatment earlier as well, resulting in increased survival. These will help women be diagnosed earlier and get onto the correct
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or computer science. Applicants should contact Associate Professor Ibrahim Khalil via ibrahim.khalil@rmit.edu.au and Professor Xun Yi xun.yi@rmit.edu.au with the following information to discuss eligibility: A
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of interest and inquiries to Associate Professor Khashayar Khoshmanesh at khashayar.khoshmanesh@rmit.edu.au . Expressions of interest should contain the following information: A one-page summary justifying