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external enrolment procedures. Selection criteria Demonstrated experience in programming and system development. Expertise in Python programming and data analysis. Experience developing Machine Learning
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populations held in police custody. They are much more likely to experience socio-economic disadvantage, alcohol and/or other drug dependencies and have unmet complex and chronic mental and physical health
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/funding being fully established. Supervisor: Dr Yong Zhao Available to: Domestic students PhD Eligibility Criteria Prior research experience in electrochemistry, ion/gas separation membranes, carbon
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) and computer simulation (FEA) Experience in material characterisation and experimental testings Knowledge in impact dynamics Passionate and have interest in pursuing PhD degree. Experience in research
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, governance and ethics. Desirable skills Experience with experimental design and behavioural data collection Familiarity with generative AI systems, explainability (XAI), or algorithmic fairness Skills in
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PhD in the epidemiology field Eligibility criteria Undergraduate degree with Honours or Masters in Science with units in mathematics and/or biostatistics Demonstrated coding experience: either
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Grant and offers excellent training in experimental techniques, data analysis, and translational research. The successful candidate will gain in-depth expertise in both cardiovascular and neurological
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to empower clinicians and patients to better understand physical function following total knee and hip replacement. We are seeking a motivated student with demonstrated experience or interest in research
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PhD Scholarship in Digital Mapping of Homemade & DIY Cultural Economies in First Nations Communities
. The desirable candidate will have experience of interviews and participatory research methods and evidence of expertise (such as publications or media practice) in one of the above disciplines. In its assessment
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networks, and a collaborative, interdisciplinary research environment.Submit your Expression of Interest (EOI) via email to Dr Madeline Sprajcer at m.sprajcer@cqu.edu.au as soon as possible. Please feel free