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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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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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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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