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Build software that supports CSIRO’s leading research Work in an agile, innovative, and autonomous team Collaborate with experts across tech and science The Data Management and Applications (DMA
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Computer Systems 1 Bachelor of Engineering (single or double degree) Aerospace Mechanical Automotive Manufacturing Mechatronics Sustainable Systems Electrical Computer and Network Engineering Double degrees
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motif, hence renders the identification of the binding protein difficult. Here we propose for the first time to apply the Bayesian information-theoretic Minimum Message Length (MML) principle to optimise
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 4 days ago
workflows, and large-scale data analytics. You will design, build, and optimise software environments used daily by thousands of researchers across universities and national research initiatives. Your
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for detailed information about the eligibility criteria and selection process for each program. Applicants must meet the eligibility criteria of the specific scholarship to which they are applying, including
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Anomaly detection is an important task in data mining. Traditionally most of the anomaly detection algorithms have been designed for ‘static’ datasets, in which all the observations are available
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While deep learning has shown remarkable performance in medical imaging benchmarks, translating these results to real-world clinical deployment remains challenging. Models trained on data from one
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study at Harvard University. For information about eligibility and selection criteria and application open and closing dates, see: The Frank Knox Memorial Fellowships. The information listed here is
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quantitative survey, including building and managing the survey platform, launching it for a four-week data collection period, and ensuring effective monitoring and data integrity throughout. The position also
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I supervise computational projects in electron microscopy imaging for investigating materials at atomic resolution. Some projects centre on analysing experimental data acquired by experimental