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This project invites mixed-methods and interdisciplinary candidates to investigate online debunking practices with the aim of identifying and testing potentially effective strategies to counter mis
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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
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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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follow-up as needed. Participate in multiple rounds of complex system testing, covering numerous detailed scenarios. This involves identifying, documenting and tracking a significant number of defects
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employee discounts at leading retailers. A strong focus on health and wellbeing, including RMIT-subsidised gym memberships, Employee Assistance Program (EAP) access and discounted childcare options
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and the supervision of students enrolled in selected courses within the program. Participation in the School’s continuing reviews of course content and development, delivery, teaching methods (including
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leading research database focused on Australasian content. The RMIT UP Foundation Studies Program consists of courses comparable in standard to an Australian Year 12 curriculum. It is nationally recognised
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Successful candidates will be expected to have a solid background in finance and sustainable finance, research methods, strong data analytic skills, and experience working with large datasets. RMIT
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UP Foundation Studies Program consists of courses comparable in standard to an Australian Year 12 curriculum. It is nationally recognised as a program that equips international students with the skills
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Foundation Studies, ELICOS English for Academic Purposes (EAP), language testing, and Informit, a leading research database focused on Australasian content. The RMIT UP Foundation Studies Program consists