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and Photonics; Electromagnetics; Signals Processing, Artificial Intelligence, Cyber Security, Human-Centred Computing, Power and Control Engineering, and Data Science. The School fosters a dynamic and
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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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, 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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Overview: 1 x Full time, ongoing opportunity now exists to join RMIT's School of Computing Technologies - Discipline of Data Science and Artificial Intelligence Remuneration at Academic Level E + 17
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proficiency using Microsoft Outlook, Word, and Excel. Heavy rigid license and blue card desirable but not essential. Availability to work on weekends. Ideally, you will also bring: (1) certificate of competency
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artificial intelligence and machine learning applied to genomics and biological systems. The ideal candidate will have interdisciplinary expertise spanning computer science, mathematics, and genomics, enabling
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principles and practices. You will be confident using educational technologies including learning management systems, content creation tools, learning analytics, and emerging tools such as artificial
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artificial intelligence. With excellent interpersonal skills and a collaborative approach, you will also show a clear commitment to equity and inclusion in both your learning designs and your interactions with
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Structures to compliment our Biomedical Engineering, Robotics, Artificial Intelligence, Advanced Manufacturing and Automation disciplines. To be successful in this role, you have a doctoral qualification in
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, and active learning pedagogies. You will be instrumental in achieving our "Lead through Learning" strategy, directly addressing the rapid rise of Artificial Intelligence (AI) in education. This means