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Field
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will include leading and undertaking quantitative data analyses, including working with large-scale longitudinal survey and administration data, to generate novel insights and contribute to high-quality
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: Experience in physical system modelling including finite element modelling Experience working with large codebases in open source software environments Proficient user of HPC environments including MPI
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, and may utilise iterative algorithms, machine learning and high-performance computing. Through the Monash Centre for Electron Microscopy, opportunities exist to acquire large experimental datasets using
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stability assessments and control development. You will: contribute to delivering the CfNETR project(s) in smart power system engineering; develop literature reviews and maintain data and knowledge
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engagement methodologies for the design of large language model (LLM) agents within digital health interventions. Stakeholders in this context include subject matter experts—such as clinicians, healthcare
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of the role The Research Fellow in health data science, will be a research-focused academic position working within the National Perinatal Epidemiology and Statistics Unit (NPESU), a unit of the Centre for Big
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Factors, patient safety, healthcare quality and clinical research or systems improvement; Demonstrated skills in qualitative or mixed methods research, data collection and analysis; and Knowledge of Human
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of the plant population under study. Assist in the management of field trials and collection of samples from remote sites in Queensland. Manage large data sets and conducts analysis of data. Troubleshoot issues
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global team to enable high-impact science using SKA data and infrastructure. Full-time appointment on a tenurable basis. Base salary range: Level B, $113,934 – $134,824 p.a. (pro-rata) plus 17
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: The Associate Research Fellow will work closely with Associate Professor Romain Gauriot and co-author papers with him. The work involves analysing large administrative data (e.g., millions of speeding fines and