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development of Machine Learning (ML) models and Digital Twins. 11. Engage in continuing professional development activities as appropriate. 12. Undertake any other duties of equivalent standing as assigned by
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management. • Previous research involving large datasets including clinical meta-data and omics technologies • Familiarity with artificial intelligence, machine learning, and data science applications in
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the strengths of Kahlert School and the SCI Institute. Their work will bridge core computing disciplines—such as computer vision, large-scale AI systems, and machine learning—with cutting-edge, high-impact
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range of exciting projects: for example, developing machine-learning approaches for the identification of known and unknown metabolites in MS/MS data; meta-analysis of mass spectrometry-based metabolomics
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, these systems serve as complex functional approximators trained over an input-output data set. ‘Second Wave AI’ is the term used to describe the current glut of 'machine learning' style intelligence, where
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world, and with world-class photonic facilities at Monash. "Quantum nanophotonic chip" "Multimode imaging through ultrathin meta-optics" "Advancing optical imaging with flat optics" "Machine-learning
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for autonomous systems; field robotics; ● Cognitive Robotics: explainable artificial intelligence, perception-based interaction, and meta-reasoning to improve team performance; ●Human-Robot Interaction: Human
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Although deep learning has produces state of the art results on many problems, it is a data hungry technology requiring a lot of human supervision in the form of annotated data. Potential PhD topic
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, Python, Bash). Good level on machine learning. Good level of written and oral English. Ease in a multidisciplinary environment, taste for teamwork, interpersonal skills. Scientific curiosity