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project funds are secured and from a non-federal source. The position involves applying bioinformatic and statistical tools to existing multidimensional datasets, including metagenomic, transcriptomic
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position in big data analysis, substance use, neurocognition, and tobacco regulatory science. The position entails research on (1) analysis of big data using advanced statistical methods, (2) assessment
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science. The position entails research on (1) analysis of big data using advanced statistical methods, (2) assessment of the neurocognitive effects of tobacco use, and (3) behavioral interventions
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a non-federal source. The position involves applying bioinformatic and statistical tools to existing multidimensional datasets, including metagenomic, transcriptomic, proteomic, and metabolomic
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and working knowledge of software including,but not limited to, Word, Excel, PowerPoint, Adobe photoshop/illustrator, and GraphPad prism or other statistical analysis software is a plus.
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, statistics, computer science, biomechanics, and public policy. We focus on developing evidence-based models of how disease impacts human behavior (driving, sleep, mobility) and of how physiology predicts
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preferred. Knowledge of statistical methods, programming (e.g., Python, R), and data quality assurance techniques. Proven ability to work collaboratively in an interdisciplinary environment and engage with
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cell culture Animal model of pulmonary hypertension Western blot and qPCR Immunohistochemistry. Single cell and ATAC sequencing. Statistical analysis. Supplemental Qualifications
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fields include (but are not limited to) Computer Science, statistics, mathematics, automation, informatics, and Engineering. • Experience in deep learning, machine learning and medical imaging processing