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the different datasets and harmonise relevant variables for subsequent analysis, with statistical and data management support from the Centre for Women’s Health Research. To address the research questions, we
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research and specifically, an interest in health data analysis and statistics; Have excellent written and verbal communication skills; Have the ability to work independently, as well as part of a team; Have
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deep learning theory, Bayesian statistics, and generative modelling, this work will advance our understanding of both the capabilities and vulnerabilities of modern AI systems. This will have potential
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for listening and reading. Experience in working with human participants, strong technical skills, and experience with data and statistical analysis. Experience in neurostimulation (e.g. transcranial magnetic
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trips, and proficiently conducting labora tory analyses. c. good understanding of soil carbon cycle, Australian native flora and soil laboratory and statistical analysis. d
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mathematical concepts such as optimization, linear algebra, probability, and statistics, relevant to AI and quantitative modelling. Technical proficiency in programming66: Demonstrated programming skills with
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therapeutic targets. The scholarship provides opportunities to apply statistical genetics approaches to dementia research within a collaborative and supportive research environment. Student type Future Students
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methods Descriptive statistics and logistic regression. Impact This project will inform the implementation of interventions aimed at increasing self-testing rates. 2) Missing annual flu vaccination Data
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Statistics for the Australian Grains Industry 3 (SAGI3). Investment. The University of Adelaide, in collaboration with Curtin University and The University of Queensland, is leveraging machine learning, data
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statistical analysis and/or coding (e.g., R, Python, C++) Exposure to neurophysiological measurement methods (e.g., eye-tracking, pupillometry) Interest or training in technology law, digital regulation, or AI