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to QUT's Doctor of Philosophy or Master of Philosophy . The first step is to email Prof Cheng Yan providing a CV detailing your academic performance (GPA), research experience and skills, publications
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research and analytical skills Some prior experience with material synthesis and characterisation is desirable Please contact key contact Prof Weiwei Lei, to discuss your suitability and the project
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interdisciplinary setting including immunologists, clinicians and, bioinformaticians and biologists. Experience in tissue culture. To apply, please submit the following documents to Prof. Magdalena Plenbanski and Dr
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considered for a scholarship please apply to the relevant scholarship round. Supervisor: A/Prof David Boettiger Available to: Domestic and International students Either PhD or MPhil Eligibility Criteria Ideal
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older adults. The expected outcome is the creation of AI algorithms to detect early signs of neurodegenerative disorders in older adults living independently at home. The potential benefit is early
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) implement the COMPAS survey across two waves at St John Ambulance, (c) develop a predictive algorithm that can predict suicidal intentions and behaviours 12 months later, (c) use the algorithm to stratify
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Join our multidisciplinary research team to develop and apply machine learning and bioinformatic algorithms in biomedical research. This PhD project will focus on developing machine learning
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, or Australian Permanent Resident Be an Australian or New Zealand citizen, or Australian Permanent Resident Contact with one of the project chief Investors: Dr. Ke Deng - ke.deng@rmit.edu.au A/Prof. Yongli Ren
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-tracking, pupillometry), cognitive modelling, and regulatory analysis to assess how algorithmic explanations shape human judgement and how existing legal and ethical frameworks align with the evolution
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about potential research projects, please contact Prof Toby Pavey . For information on how to apply for this scholarship, please contact hdr@qut.edu.au . What happens next? Applicants will be contacted