53 machine-learning "https:" "https:" "https:" "https:" "https:" "University of St" "St" research jobs at The University of Queensland in Australia
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+ 17% Superannuation, or Academic Level B base salary will be in the range $114,824.05 - $136,048.73 + 17% Superannuation Visa sponsorship is not available for this position Based at our St Lucia Campus
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modelling, or machine learning). Proficiency in statistical programming (e.g., R, Python, Stan, or similar). Experience developing and managing longitudinal studies. Evidence of contributions towards
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Sustainable Minerals Institute Join a university ranked in the world’s top 50 Based at St Lucia location Academic Level D or E About UQ What started as Queensland's first university in 1909, with
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in human induced pluripotent stem cells (hiPSCs)-derived skin organoids (https://pubmed.ncbi.nlm.nih.gov/38044307/ ), and the generation of vascularized skin organoids (https
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machine learning, big-data analytics, and data-driven approaches to optimise composition–process–property relationships. Key responsibilities will include: Research: Conduct additive manufacturing research
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/empirical analysis Technical capability in behavioural and organisational cyber security, and desirable experience applying AI or machine learning to cyber security contexts. Proven publishing ability across
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% Superannuation (Academic Level A) Based at our St Lucia Campus About This Opportunity Join a collaborative and impact-driven research environment in QAAFI as a Postdoctoral Research Fellow in Quantitative Genetics
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School of Health and Rehabilitation Sciences Casual position with an hourly rate in the range of $63.02 - $67.60 (HEW Level 6) plus 12% superannuation Based at our vibrant St Lucia campus About This
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(Academic Level A) Based at our St Lucia campus About This Opportunity This is a rare and purposeful opportunity for two Postdoctoral Research Fellows to contribute to a flagship ARC Industry Laureate
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) Based at our St Lucia Campus About This Opportunity Join an Australian Research Council–funded project and help shape the evidence base for one of Australia’s most important policy questions: how