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National Industry Scholarship We are looking for highly motivated students with training background on crop genetics, genomics and biochemistry. Students with training background on AI, machine
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Machine learning, dynamical systems theory, control theory, signal processing, network theory, neuroscience are all relevant and a student should have strong knowledge in at least one of these and a
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reinforcement learning. In International conference on machine learning (pp. 2107-2128). PMLR. - Péron, M., Becker, K., Bartlett, P., & Chades, I. (2017, February). Fast-tracking stationary MOMDPs for adaptive
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: Using big data insights to optimise the manufacturing process The second phase of this project will focus on processing and utilising machine-learning techniques to analyse large volumes of data from
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location About This Opportunity Information Technology Services (ITS) delivers the digital foundations that support UQ’s teaching, learning, research, and engagement. As the first point of contact for all
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Full time continuing opportunity Make a real impact by shaping learning that drives capability, compliance and positive change across the University. Base Salary $126,065- $142,171 + 17
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stakeholders. Advanced computer literacy, including proficiency in Microsoft Office and the ability to quickly learn and navigate university systems and placement platforms. Superior time management skills, with
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for primary care givers 17% Superannuation contribution Health and fitness membership options Accommodation and Car Hire discounts Health Insurance and Banking Novated Leasing Generous relocation
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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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stakeholders in data-informed decision-making Build strong partnerships to apply analytics and machine learning for meaningful impact About you Tertiary qualifications in analytics, data, or a related field (or