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focus of this Winanga-y Postdoctoral Fellowship role is to address a critical gap in agricultural technology adoption by investigating how AI and machine learning outputs can be better translated
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maintenance, inspections, and defect repairs across various mechanical systems to ensure operational reliability. Show willingness to learn and assist with cryogenic maintenance tasks as part of broader
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of completing tasks. Provide support to more senior staff, deliver precedent-based policy & procedure interpretation and advice, and instruct others on routine administrative activities, as required. Recommend
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experience in using statistical and mathematical tools to analyse and interpret soil data, spatial modelling, multivariate statistics and/or machine learning, and relevant coding languages (e.g. R, Python
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other interns across Australia. This year’s Pawsey Summer Internship Program will focus on research projects targeting: Your Computational Domain / Field Machine Learning & Artificial Intelligence (ML
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telecommunications engineering, software engineering, signal and image processing, machine learning, and related fields. For information and contacts details please see the Space & Astronomy Project List linked