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Project title: Developing and Evaluating Interpretable Approaches for Human-Centered Machine Learning.Project description: Approaches in interpretable machine learning offer promise in understanding
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of Machine Learning and Statistical Data Processing. Candidates with expertise and a strong research interest in the following areas are highly encouraged to apply: Machine learning, Statistical data
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, multivariate statistics and machine learning (ML). Our lab has accumulated several large published and unpublished microbiome datasets originating in various body sites, including longitudinally collected
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interdisciplinary as it supports the advancement of constraint programming, operations research and machine learning domains. The Senior Post-Doctoral Researcher will be expected to perform research and development
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, Android, iOS) for searching and interacting with cultural heritage data. • Building machine learning models for word-based recognition and processing of Yunnan ethnic minority languages. The researcher will
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and related disciplines in the school. Applicants should hold a PhD or equivalent qualification in Statistics or in a closely related Data Science area such as Biostatistics or Statistical/Machine
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, multivariate statistics and machine learning (ML). Our lab has accumulated several large published and unpublished microbiome datasets from various body sites, including longitudinally collected samples
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in the school. Applicants should hold a PhD or equivalent qualification in Statistics or in a closely related Data Science area such as Biostatistics or Statistical/Machine Learning, and have a track
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critical component analysis, and (iii) development of Automation of ML model and data selection. The applicants should have knowledge of machine learning and optical networks and willing to engage in testbed
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/machining processes, artificial intelligence/machine learning/data science in the manufacturing environment. The successful candidate should be recognised internationally for their research and teaching