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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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PhD Scholarship in Generative Artificial Intelligence Job No.: 686325 Location: Clayton campus Employment Type: Full-time Duration: 3.5-year fixed-term appointment Remuneration: The successful
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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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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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for delivering high-quality lectures and tutorials, developing and updating course materials and academic research, conducting high-impact research in areas such as artificial intelligence, machine learning, cyber
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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 candidate will work within a multidisciplinary team comprising experts in GPCR biology, computational pharmacology, artificial intelligence, and neurovascular in vivo models. The applicant will have access
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ideas - and the people who discover them The Opportunity The Department of Data Science and Artificial Intelligence at Monash University is looking for a Lecturer or Senior Lecturer to contribute to our