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-disciplinary team of clinician scientists and computer scientists to develop diagnosis/predictive/treatment/robotics surgery models of diseases of interest using multimodal medical data, consisting of images
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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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extract events and mine knowledge from existing unstructured/structured data, and exploit the knowledge via neuro-symbolic reasoning for crime prevention (eg -sexual assaults), especially when there is no
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Full time, fixed term for 12 months Opportunity to develop your teaching expertise in Computer Sciences, Camperdown Campus Level A offering a base salary of $113,400 p.a. - $121,054 p.a. + 17
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AUSTRALIAN NATIONAL UNIVERSITY (ANU) | Canberra, Australian Capital Territory | Australia | 29 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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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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/or equivalent experience. Strong administrative skills with experience in data extraction, report presentation and task prioritisation Strong communication skills and the ability to explain information
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to the development, review, and distribution of program resources, including policy guidelines, marketing collateral, and analytical reports. Organize workflows and data collection processes to support strategic
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Candidates should hold a previous degree (Bachelor’s and/or Master’s) in Computer Science, Data Science, Robotics, Mechatronics, or Software Engineering, with demonstrated knowledge in machine
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global challenges in climate and sustainability, biodiversity, health, quantum and advanced technologies, data science, and fundamental discovery research. For more information about this opportunity