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Antimicrobial resistance (AMR) is one of the most significant and immediate threats to health in Australia and globally. We are working on harnessing new technologies such as artificial intelligence
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intelligence techniques (e.g., Deep Learning, Statistics, ML, Optimization) in order to (1) understand the nature of critical software defects like vulnerabilities; (2) predict; (3) highlight vulnerable code; (4
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working on harnessing new technologies such as next-generation sequencing and artificial intelligence to improve the diagnosis, treatment and prevention of AMR infections. The specific aims of this project
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position within a Research Infrastructure? No Offer Description Full time, fixed term for 2 years Work on a range of Artificial Intelligence in Education (AIED) and Educational Data Mining (EDM) projects
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Full time, fixed term for 2 years Work on a range of Artificial Intelligence in Education (AIED) and Educational Data Mining (EDM) projects Base Salary $109,263 - $121,054 + 17% superannuation About
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Project description: On behalf of the Victorian Orthopaedic Trauma Outcomes Registry (VOTOR), we will establish the role of artificial intelligence (AI) deep learning to improve the prediction
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rate for the same purpose In selecting successful applications, we prioritise applications from candidates who: have a strong background in Artificial Intelligence will be enrolled full-time and
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| Honours or Masters student studying electrical, electronic or mechanical engineering, artificial intelligence (or computer science, majoring in artificial intelligence), information technology or other
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Professor and Head, Department of Data Science and Artificial Intelligence Job No.: 683549 Location: Clayton campus Employment Type: Full-time Duration: Continuing appointment Remuneration:$226,052
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AI & Cyber Futures Institute - Charles Sturt University | Bathurst, New South Wales | Australia | 3 days ago
Herbicides PhD Student Scholarships: Integrated Australian Shorn Wool Production Forecasting System Using Digital Twin Technology PhD Student Scholarships: Artificial Intelligence-Powered Climate Resilience