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PhD Scholarship This project aims to improve rare earth element recovery by designing peptide-polymer composites inspired by lanthanide-binding proteins using machine learning and computational
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privacy constraints, robust solutions are essential. This PhD project will develop methods for building reliable medical imaging models that generalize across distribution shifts without retraining
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AI is now trending, and impacting diverse application domains beyond IT, from education (chatGPT) to natural sciences (protein analysis) to social media. This PhD research focuses on the fusing AI
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on the student’s background and preference, the PhD project will be in one of the following areas: Vascular access Peripheral vascular access Haemodialysis vascular access Indwelling urinary catheter management
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/ Institute: Occupational and Environmental Health Supervisor(s): A/Prof Jacques Oosthuizen Project level: Masters or PhD Funding: Applicant should apply for ECUHDR or RTP Scholarship Start date: Ongoing
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and Professor Jonathan Hodgson Project level: Masters and PhD Funding: Applicant should apply for ECUHDR or RTP Scholarship Start date: January 2022
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Supervisor(s): Professor Rob Newton, Professor Daniel Galvao, Professor Dennis Taaffe Project level: Masters, PhD Funding: Applicant should apply for ECUHDR or RTP Scholarship Start date: Ongoing
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About you To be successful in this role, you will: (a) Hold a post graduate qualification (preferably at Masters or PhD level) in Counselling or a closely related field. (b) You will be eligible
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Supervisors: Dr Cassandra Smith and Dr Joshua Lewis Project level: Masters and PhD Desired Skills: Epidemiology desirable, bone health, cardiovascular disease. Funding: ECUHDR or RTP Scholarship Start date
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catastrophically so. This PhD will develop technologies for addressing this serious problem, building upon our groundbreaking research into the problem. Required knowledge A solid grounding in machine learning