96 machine-learning "https:" "https:" "https:" "https:" "https:" "https:" positions in Australia
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, ticketing tools, web chat etc). Demonstrated ability in the use of a range of computer applications (Windows) and the ability to quickly learn new technologies. Desirable but not essential – Experience with
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publications and research experiences in structural dynamics and structural health monitoring, especially on computer vision, image processing, machine learning, deep learning, signal processing and data
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materials systems at the molecular level with machine learning. The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models
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based at other campuses of the University About the role As Assistive Technology Specialist, you will play a key role in supporting equitable access to learning and research by providing expert guidance
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student societies, and are actively involved in teaching and learning opportunities within the school. For further information about the School, please visit - https://www.unsw.edu.au/engineering/our
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development. Familiarity with software development lifecycle including design and documentation of software architecture, testing/debugging skills, and version control. Experience applying machine learning
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largest schools, with a rapidly expanding teaching and research portfolio. The school is at the forefront of emerging fields, including Artificial Intelligence, Machine Learning, Quantum Technologies
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: ability to use tools such as R (or similar platforms) for data wrangling, visualisation, and reproducible workflows. A working knowledge of statistics and applied machine learning methods (e.g. regression
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insurance, 50% off Swinburne courses and other partner offers. Swinburne offers 17% super and salary packaging options, including car leasing and extra super contributions. Want to learn more? Head over to
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materials systems at the molecular level with machine learning. The PhD Student will undertake a study analysing mass spectral imaging data streams in real time using machine learning workflows. A pathway for