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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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Responsibilities of the Post Conduct research and development on sign language recognition using computer vision and machine learning techniques. Lead the implementation of inference models suitable for mobile and
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Intelligence (AI) and machine learning tools that can accelerate the creation of medicines for conditions that disproportionately affect those in developing countries, such as malaria and other tropical diseases
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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 Our lab has accumulated several large published and unpublished microbiome datasets originating in various body sites, including longitudinally collected
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Hospital. This role requires excellent communication and interpersonal skills, computer literacy, organisation and an awareness of time management. The Research Assistant is required to manage data in
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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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, 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 Our lab has accumulated several large published and unpublished microbiome datasets from various body sites, including longitudinally collected samples
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, 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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. - statistical and machine learning techniques for data analysis - atmospheric chemistry research - materials chemistry research - designing and conducting experimental test procedures. Achievement
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, motivation to learn new skills as well as excellent written and oral skills is essential.Example publications from the Lab:•Detection of host cell microprotein impurities in antibody drug products. 2024 Nature