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Australian National University | Canberra, Australian Capital Territory | Australia | about 18 hours ago
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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integration patterns, data validation frameworks, and data quality management Experience working with Artificial Intelligence/Machine Learning data requirements and establishing data pipelines for automated
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Research Areas and Capabilities: Digital Engineering, Artificial Intelligence (AI) and Human Machine-Teaming Aerostructures and Flight Science Advanced Composite and Alloy Additive Manufacturing Propulsion
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Science & Artificial Intelligence (DSAI) Interaction, Technology & Information (ITI) Our PhD students and faculty conduct world leading research in many areas of Computing and Computing applications
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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.
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to enhance data integrity and interoperability, support data-driven decision-making, and foster a culture of data excellence across the Library with a forward-looking perspective on how Artificial Intelligence
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, artificial intelligence, machine learning and deep learning, and will support robotic field trials and data collection. An important component of the role is to coordinate and support a broad range of research
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other interns across Australia. This year’s Pawsey Summer Internship Program will focus on research projects targeting: Your Computational Domain / Field Machine Learning & Artificial Intelligence (ML