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applications * Building data processing pipelines for standardizing and integrating heterogenous health data * Implementing advanced machine learning algorithms and generating testing results * Customizing user
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sequences and related datasets, implementing algorithms, and analyzing high-throughput data for empirical research. The Research Technician will have the opportunity to contribute innovative methods and data
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underlying spatial data, high-dimensional and big data (e.g., data from wearable devices, electronic health records), Bayesian statistics, and learning algorithms as novel data analytical tools in applications
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