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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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developing an artificial intelligence-based foundation model tool-box that utilizes a wide range of historical, global and regional weather and climate data. A general purpose tool-box, initially tested
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Artificial Intelligence (GenAI). Position Description Applicants are required to submit a resume and cover letter and respond to a selection criteria questionnaire as part of the online application
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expertise in artificial intelligence and data science; computer science and software engineering; electrical and electronic engineering; mathematics, statistics and industrial optimisation; actuarial science
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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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, digitalisation and artificial intelligence. This new technology has created demand for a new breed of engineers. Our school has over 90 staff and more than 2,500 students, across undergraduate, postgraduate
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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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engagement activities in their area of expertise. We are recruiting a Professor Level E, 0.35FTE to drive Artificial Intelligence and its application in Finance. We are looking for a leader who can develop a
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and the use of artificial intelligence such as pattern recognition and machine learning techniques. Demonstrated experience with the development and management of large energy data sets is desirable
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to support the university's mission. The role reports to the Head of Artificial Intelligence and has no direct reports. Accountabilities: • Collaborate with the Head of AI, Enterprise AI Architect and AI