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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
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)humanity’ of Artificial Intelligence. The successful applicant will contribute to the wider project, but will also undertake their own distinct Masters project. The details of the thesis project are open to
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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) is revolutionizing the field of Magnetic Resonance Imaging (MRI) by enabling faster, more accurate, and cost-effective image reconstruction. This project explores
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extraordinary ideas - and the people who discover them The Opportunity This is your chance to join a vibrant and forward-thinking team in the Department of Data Science and Artificial Intelligence, part of
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pathophysiology. Significant expertise in these areas is essential, and experience in artificial intelligence, machine learning, or simulation as applied to medical imaging will be highly regarded. As a key member
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at the interface of quantum chemistry, artificial intelligence (AI), and drug discovery. The Research Fellow will be part of a world-class team recognised with prestigious honours including the Gordon Bell Prize and
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Conference on Artificial Intelligence (AI'2010) [Springer Lecture Notes in Artificial Intelligence (LNAI), vol. 6464], Adelaide, Australia, 7-10 December 2010, Springer, pp82-91 R T Edwards and D L Dowe (1998
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Bednarz. "Explainable ai and reinforcement learning—a systematic review of current approaches and trends." Frontiers in artificial intelligence 4 (2021): 550030.