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sustainable agricultural production. The successful candidate will play a key role in designing and implementing research at the intersection of sensor data collection, machine learning, remote sensing, and
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dissemination on a five-year project focused on socioecological factors impacting sleep health in toddlers. Incumbent will be responsible for planning and supervising recruitment and data collection
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postdoctoral researcher to develop and apply artificial intelligence methods for three-dimensional biological image data. The position is for one year. Biological imaging increasingly produces
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; designs and analyzes choice experiment data; analyzes observational survey data; participates in analyzing data for reports for the purpose of grants submissions; participates in group meeting; writes
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; designs and analyzes choice experiment data; analyzes observational survey data; participates in analyzing data for reports for the purpose of grants submissions; participates in group meeting; writes
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colleges and divisions. The Postdoctoral Scholar will contribute to all phases of the research lifecycle, from concept development and proposal preparation to data collection, analysis, publication, and
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, and clinical outcomes using large-scale genomic, electronic health record, and longitudinal cohort data. The position emphasizes rigorous statistical methodology, reproducible computation, and
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research activities such as experiment design and setup in the greenhouse and laboratory; sampling, sample processing, data generation, data pre-processing, and report presentation. In addition, the
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scientific mentor in the Department of Biomedical Informatics; designs and develops novel computational tools for biomedical data analysis; performs large-scale analysis using omics data; assists in
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secondary metabolites form plant extracts. The post-doctoral scholar will also conduct the maintenance of a dryad account that will host the data generated and will be shared as a project. The post