235 machine-learning "https:" "https:" "https:" "https:" "RAEGE Az" Fellowship positions in Australia
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of 17% superannuation applies. Research Fellow in machine-learning enabled digital forensics Fixed term, full-time 36-month position available About the position We are seeking a Research Fellow with
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Performance . About You The successful candidate will play a key role in the development and validation of computational tools that integrate spatial transcriptomics, algorithmic methods, and machine learning
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relevant to integration of machine learning and mechanistic models, and development of engines for efficient processing and visualisation of large-scale datasets and system geographic information and
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with verifiable experience in longitudinal data analyses methods, structural equation modelling, network analysis, machine learning and/or adaptive trial design. Essential are outstanding academic
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providing lifelong learning, skills, and research locally, regionally, and globally. With University and TAFE campuses in Ballarat, Berwick, Gippsland, and the Wimmera we are positioned to provide pathways
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Intelligence or Machine Learning, with demonstrable analytical skills. Excellent research record evidenced by first-author publications in strong international journals and conferences. Proven experience in
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of participation in research leadership. Broad experience with data management processes and techniques, building and running data analysis tools and pipelines, machine learning and AI techniques and tools. Position
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trials. In this role, you will lead the design, development, and deployment of a real-time clinical AI evaluation platform across Australia, while building your research profile in machine learning with
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data management processes and techniques, building and running data analysis tools and pipelines, machine learning and AI techniques and tools. Position description: POSITION DESCRIPTION [Research
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engineering and a strong foundation in data science. You bring a passion for solving complex problems and a track record of research excellence in optoelectronic materials, machine learning, or related fields