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The scholarship will fund a 3 year PhD candidature to work in the Chemistry Department of the School of Science CAMIC Laboratory. The project is a collaboration with Assoc. Prof Ravi Shukla to test
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scholarship available. Must have an Honours or Master's degree in biomedical sciences. Must have an Honours or Master's degree in biomedical sciences. Please contact guiying.nie@rmit.edu.au . Please contact
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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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physics, chemistry or related engineering disciplines are encouraged to apply. To be eligible for this scholarship you must: have a first-class honours or equivalent in physics, chemistry, or related
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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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, applied maths, physics, chemistry, computer science, computational modelling, earth science or similar. Strong programming skills. Experience in making gas flux measurements Excellent project management
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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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polymer science. Problem solving skills/experience in applied chemistry, mechanical or electrical engineering. For further information, please contact A/Prof. Ken Chiang (E: Ken.Chiang@rmit.edu.au
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criteria. The university will issue a letter of offer for the program if all conditions have been satisfied. This iPhD scholarship is a partnership between RMIT, CSIRO Data 61, and Workwear Group. Below
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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