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This PhD project aims to leverage continuous glucose monitoring (CGM) technology to develop personalized nutrition and meal timing strategies for people living with type 2 diabetes. By continuously
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expected to co-supervise, motivate, and mentor research students, and must demonstrate excellent verbal, written, and interpersonal communication skills. To be successful you will need: A PhD, or equivalent
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a focus on neurological disease and neuroimaging. To be successful you will need: A PhD in Computer Science, Engineering or other Machine Learning-related technical field. Programming experience in
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you will need: 1. A completed PhD or a submitted PhD thesis in either computer science, mathematics, computer/software engineering, electrical or electronic engineering, mechanical/mechatronic
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to contribute to the development of management strategies for these pests. The ideal candidates will have a PhD in agricultural entomology or closely related field and interest in advancing knowledge that will
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: A PhD in Mathematics, Computer Science, Engineering or other Machine Learning-related field. Programming experience in MATLAB, Python, C++ or other relevant language and experience in deep neural
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funded 3.5 year PhD projects that will develop an innovative approach for enabling the discovery of natural hydrogen accumulations in continental interiors. Using the unique natural laboratory
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PhD in Forensic Science, Electrical Engineering, Computer Science, Data Science, Criminology or related area (or near completion). A record of high-quality research outputs, including publications
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will need: A PhD or equivalent in stochastic modelling, data science, network analysis, statistics, or related discipline Is eligible to apply for an Australian Government security clearance. Research
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commitment to diversity, collaboration, and ongoing professional development is essential. To be successful you will need: Masters / PhD in Engineering /Agricultural science or relevant area, or significant