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, analysis and evaluation, and writing reports which contain descriptive, analytical and evaluative content. The purpose of this role is to acquire the professional skills needed to pursue a career path of his
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learning about the scientific process and field sampling methods. The fellow will also learn to identify common plant species of the interior Pacific Northwest, collect and process increment cores for tree
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-scale modelling, spectroscopic analysis, and more. The group has extensive research experience in theoretical calculations, energy science, and machine learning. The research emphasizes the integration
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in the medical and scientific literature, to clinicians, policy makers and the wider public. The Institute offers world-class education and training across a wide range of teachin g and life learning
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related field At least 1 year of relevant experience in signal processing and machine learning. Good written and oral communication skills Proficiency in ANSYS, and lab test skill Ability to work
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individuals with research interests in optimization, evolutionary computation, and machine learning. Initial appointments are for one year. Required Department Minimum Qualifications: Ph.D. or terminal degree
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Successful candidates will have publications in information theory and machine learning venues, such as IEEE Transactions on Information Theory, ISIT, NeurIPS, ICML, ICLR, and ACM FAccT. Experience in machine
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Posting Start Date: 16/04/2026 Schemes of Service: Research Division: Infocomm Technology Employment Type: Fixed Term As a University of Applied Learning, SIT works closely with industry in our
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Research Infrastructure? No Offer Description Based at Australian Institute Machine Learning (AMIL), City East Campus 2 x Full-time, 2-year fixed term contracts Salary Range: $114,917 - $135,932 per annum
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more than five years of post-qualification experience at the time of application; and (b) strong background in accounting, finance or computer science/natural language processing/machine learning