5 condition-monitoring-machine-learning PhD positions at University of Southern Queensland
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analysis and data processing. Strong programming skills in R (preferable) and/or Python, and experience or interest in weather prediction or climate models. Knowledge of machine learning, AI techniques, and
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to be of critical importance to meet food production targets on Earth to address finite land availability and a growing global population. Plant growth monitoring with machine vision is a key component of
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external enrolment procedures. Selection criteria Demonstrated experience in programming and system development. Expertise in Python programming and data analysis. Experience developing Machine Learning
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government background checks (allow for between 4 to 8 weeks) and complete any other CSIRO requirements. Selection criteria To be eligible applicants must: Have a basic understanding of machine learning
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status; • have completed degree or higher degree studies and be eligible for PhD candidature; and • outline a research proposal that specifically applies to patients with IBD. • Not hold another concurrent