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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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/s12864-019-5546-z Filipp F., Opportunities for Artificial Intelligence in Advancing Precision Medicine. 2019. Current Genetic Medicine Reports volume 7, pages208–213. Ma Y., Ding Z., Qian Y., Shi X
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appropriate resource or service recommendations or follow-up assessments. Required knowledge Prospective candidates should possess a strong background in artificial intelligence, machine learning, and data
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), Lecture Notes in Artificial Intelligence (LNAI) 1160, pp213 -227 , Sydney, Australia, 23-25 October 1996. [pp213-219 , pp220-227 ; p213 , p214 , p215 , p216 , p217 , p218 , p219 , p220 , p221 , p222 , p223
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Intelligence This project works with leading researchers in the Faculty of Pharmacy to develop new artificial intelligence technologies to aide discovery of drugs to treat pharmacoresistant epilepsy. Required
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[1] Kaplan, Andreas and Michael Haenlein, “Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence”, Business
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in artificial intelligence. The students will have opportunity to work with a team of world leading researchers.
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PhD Studentship Description: The studentship will be based at Monash University Monash Medical AI Group led by Associate Professor Zongyuan Ge . The successful candidate will join a multi
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, Hawaii, U.S.A. P. J. Tan and D. L. Dowe (2003). MML Inference of Decision Graphs with Multi-Way Joins and Dynamic Attributes , Proc. 16th Australian Joint Conference on Artificial Intelligence (AI'03
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to advance social good through its research. Key to this mission is the AiLECS (Artificial Intelligence for Law Enforcement and Community Safety) research lab. The AiLECS lab is a joint initiative of