56 machine-learning-and-image-processing Fellowship positions at The University of Queensland in Australia
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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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% Superannuation (Academic Level A) Based at our St Lucia Campus About This Opportunity Work with the Stehbens Group at AIBN, to conduct molecular, biochemical and live-cell imaging experiments of cell culture
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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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funding, and advance environmental engineering research. Contribute to the development and operation of water monitoring systems for research and teaching, supports consultancy activities, and provides
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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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. Teaching: Prepare and deliver lectures; develop new workshop material using innovative and inclusive teaching methods; engage and support student learning through consultation and feedback; and incorporate
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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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colleagues and unit operations as required, contribute to committees and administrative processes, and build relationships with external partners including industry, government and community stakeholders
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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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the academic promotions process. Interested? For more information about this opportunity, please contact Professor Matthew Davis via mdavis@uq.edu.au . For application inquiries, please reach out to the Talent