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of universities – to develop and spread wisdom to make the world a better place. Harnessing technology, we thrive as a distributed yet connected community, welcoming and engaging with people across Australia and
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health research and the translation of research into policy and practice. Our team is distributed across the far west, north and south western regions of New South Wales. We are committed to providing
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. Working closely with project teams, architecture functions, and geographically and technically distributed teams, the M365 Technical Lead will help shape and grow organisational capabilities within
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theory, ergodic theory, differential geometry, data science, and/or machine learning. Implement algorithms that efficiently analyse dynamical systems arising from idealised models or data. Collaborative
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engineering expertise to solve complex, computation-heavy challenges. Architect and deliver distributed software systems using containerisation and inter-process communication frameworks. Act as a trusted
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. Strong time-management skills and ability to meet deadlines. Ability to work collaboratively in cross-disciplinary, geographically distributed teams. Desirable Knowledge and experience in sorghum or other
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engineering expertise to solve complex, computation-heavy challenges. Architect and deliver distributed software systems using containerisation and inter-process communication frameworks. Act as a trusted
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The relationship between the information-theoretic Bayesian minimum message length (MML) principle and the notion of Solomonoff-Kolmogorov complexity from algorithmic information theory (Wallace and
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preparing, distributing and tracking submissions, safety data and study documentation. Process site payments and invoices, and maintain up-to-date tracking tools for recruitment, trial supplies, study data
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group of experts to predict (probabilistically) whether these occupations will be automated, augmented or unaffected by emerging technologies. Using this data, a classification algorithm is then trained