27 distributed-algorithm-"Newcastle-University" Fellowship research jobs in Australia
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algorithms and methods for adaptive and personalised feedback, modelling learning behaviours with sequence and deep learning methods, and generating interpretable insights through novel analytics and
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distributions. Demonstrated experience in characterising changes in the chemical or physico-chemical properties of biological components (preferably food), as a result of physical, chemical or biological
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of classical and hybrid classical-quantum algorithms for treating the correlations. This position offers exciting opportunities for collaboration within UQ, across the QDA network, and with external research
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experience. Experience in analysing large, complex ecological or biodiversity datasets. Strong proficiency in statistical modelling, including experience with species distribution models, community ecology
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large-scale distributed computing systems (e.g. Edge, IoT), evidenced by involvement in several industry projects. Technical Experience: Exposure to Go, Python, Java or equivalent. Experience with
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on clusters and high-performance computing infrastructure), Information Retrieval methods, Machine Learning algorithms, wrangling large-scale datasets, and showcasing the research results. The ability to work
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as a distributed yet connected community, welcoming and engaging with people across Australia and the world. Visit our website to learn about our great range of employee benefits . Charles Sturt