14 machine-learning-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"U.S" Fellowship positions at The University of Queensland
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, algorithmic methods, and machine learning approaches to advance research in melanoma and cancer biology. Specifically, you will support the major project “Predicting Early-Stage Melanoma at High Risk of
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Earth Engine, ENVI, MATLAB, or R. Desirable Proficiency in applying machine learning methods to multispectral and hyperspectral data for detecting crop diseases and estimating crop yield and quality
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focuses on scalable, AI-driven decision-making in collaboration with defence industry partners and an academic partner at the University of Melbourne. One role focuses on machine learning for decision
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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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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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genetic variation into elite germplasm. This will require the integration and optimization of several technologies, including genomics, machine learning, genetic simulation, and speed breeding. This is a
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. Demonstrated experience and competence using R for data analysis. Evidence of publications in reputed refereed journals and presenting at conferences. Access to a car you can use for work purposes and a valid
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program and an emerging research profile. Review and draw upon best practice research methodologies. Teaching Teach one course a year in the Linguistics Major or the Graduate Certificate in Indigenous
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Herston location About This Opportunity This is an exceptional opportunity for a Research Platform Fellow to shape the development of national infrastructure for AI Federated Learning through robust data
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-learn (DBTL) workflows. Strong collaborative and problem-solving skills. Hands-on experience in the cultivation of microbial systems and basic kinetic characterisation Desirable Evidence of publications