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, intelligent components learn their decision logic from data corpus in an end-to-end manner and act as a black box. Without rigorous validation and verification, intelligent solutions are error-prone especially
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impact in translational fields, which often aim to use generative AI in a responsible way. This PhD project is part of a larger cohort of projects in the Monash AI Institute, a recently expanded program
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of innovative computational procedures and methodologies, addressing a national skills shortage and enabling timely progress on a high-impact research initiative in modern econometric modelling. The role provides
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fast-readout electron detectors to validate the methods developed. The successful candidate will have a PhD in Physics, Materials Engineering, Computer Science or a closely related field. Research
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codebase, enhancing RESTful APIs, and applying best practice DevOps and Agile development methodologies. About you We’re looking for someone who brings: A degree in computer science, software engineering, or
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students who are experiencing difficult personal circumstances. This scholarship has been established by the Smith family in honour of the late Mr Michael John Smith, and his legacy as an egalitarian with a
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practice, occupational science, occupational therapy practices for enabling participation in everyday life, use of research in practice, and integration of attitudes, knowledge and skills expected
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an interdisciplinary, purpose-driven team. You have: A postgraduate qualification in Computer Science, Data Science or related field Extensive experience working with large-scale, high-frequency (waveform) data
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theoretical colleagues. All research takes place within our dynamic particle physics research group with academics and postdocs, as well as graduate and undergraduate students. Some work will be purely
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field” imaging techniques to solve many important problems in biology and change clinical practice in respiratory medicine. Our ongoing research program involves developing new imaging technologies