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nutritional data into a user-friendly platform, enabling consumers, restaurants, and policymakers to make informed food choices and reduce diet-related emissions. Required knowledge Data analytics and software
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on clinical, genomics and functional dependency data (CRISPR, drug screens). Brain tumours represent the second most common cancer and the most common solid tumour in childhood in general. Paediatric brain
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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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-dimensional data. Our research is highly collaborative and translational, and we have strong partnerships with clinical and public health colleagues in Australia and internationally. We are looking
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this website but submit the Expression of Interest via the Monash Data Futures Institute Application Link: https://www.monash.edu/data-futures-institute/study/phd-scholarship/mobility-data-driven-planning
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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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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 10 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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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