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the need to build trust with local populations, and a core element of this doctrine was the diversity of their armed forces. Leaders were explicit about the necessity of diversity among the ranks, while
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | about 14 hours ago
, computer science, machine learning, bioinformatics, quantitative biology, or closely related fields. Candidates must demonstrate strong scientific programming and software engineering skills, including
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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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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 3 days ago
science, machine learning, bioinformatics, quantitative biology, or closely related fields. Candidates must demonstrate strong scientific programming and software engineering skills, including the ability to design
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Areas covered include wireless communications; intelligent monitoring and surveillance for natural and industrial environments; intelligent embedded systems; decision making and machine learning
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to leverage machine learning approaches for the optimization of polymer properties and degradation profiles. The successful candidate will lead pioneering research in controlled polymer synthesis, employing
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We are seeking a motivated PhD candidate to work on unsupervised music emotion tagging within the broader field of affective computing. The project aims to develop reproducible machine learning
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of Machine Learning as the problem of approximating function f from the pair of measurements (x,y), and Optimization as the problem of finding the value of input x that maximizes the output y given
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are: Rapidly identify AMR and predict treatment responses through use of genomics and machine learning in a clinical context Detect healthcare-associated transmission of AMR in real-time and transform outbreak
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to applied quantitative analysis and machine learning workflows that support infrastructure systems research and urban analytics. The role focuses on working with large-scale, structured, and geospatial