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development, statistical analysis plans, and preparation of regulatory submissions that uphold the highest standards of scientific rigor. Collaboration is a defining aspect of this role. The postdoctoral
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, with an emphasis on Acute Myeloid Leukemia (AML). The successful candidate will apply advanced computational and statistical approaches to integrate and analyze multi-omics and single-cell datasets in
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size and density approaches. Demonstrated experience in infrared spectroscopy of soils and use of multivariate statistical models to predict soil properties. Experience in process-based models
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data. High proficiency in R or comparable programming languages is required, and experience with statistical modeling, geographic information systems (GIS), and handling large spatial datasets is
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requirements. Required Qualifications Ph.D. in Electrical and Computer Engineering, Computer Science Engineering, Biomedical Engineering, Integrated Systems Engineering, Mathematics, Statistics, or equivalent
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learning (ML) methods along with other classical computational and statistical tools. Experience of deploying ML workflows at scale on high-performance computing clusters. Extensive biomedical and health
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working with the PI to develop and estimate statistical models and tabulate results. 10% of the time will be spent preparing manuscripts. 5% of time will be devoted to team meetings. The full research team
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is seeking a postdoctoral researcher with interests in Childcare Access and Quality; Data and Statistical Methods; and/or Child Development more broadly. The successful candidate will work with an
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studies, documenting research data, identifying technical problems and proposing solutions, taking team science approaches, next-generation sequencing data analysis, bioinformatics and statistical analysis
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Required Qualifications Must be a nurse and have at least one nursing degree; PhD in nursing preferred. Publication record of common human subjects research methods with statistical analysis; peer reviewed