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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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Artificial Intelligence (AI) models are widely used in decision making procedures in many real-world applications across important areas such as finance, healthcare, education, and safety critical
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this question into several independent questions. This project will also contribute to an effort at Monash University in developing neuro-symbolic artificial intelligence methods. Required knowledge This project
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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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of the AAAI Conference on Artificial Intelligence (Vol. 26, No. 1, pp. 267-273). - Blau, T., Bonilla, E. V., Chades, I., & Dezfouli, A. (2022, June). Optimizing sequential experimental design with deep
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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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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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the Department of Data Science & Artificial Intelligence at the Faculty of Information Technology. Drive impactful, interdisciplinary teaching and research that helps reverse the biodiversity crisis and tackle
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’ of Artificial Intelligence. The successful applicant will contribute to the wider project, but will also undertake their own distinct PhD project. The details of the thesis project are open to negotiation, but