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[email protected] and include the reference code for this opportunity. Qualifications The qualified candidate should have received or currently pursing a PhD in one of the relevant fields, i.e., Analytical
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learning methods for process automation within SharePoint and Microsoft enterprise platforms. Under the guidance of a mentor, the participant will explore research approaches related to large language model
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efficacy in swine and cattle models. Understand how to apply molecular and cellular biology methods including recombinant DNA technology, DNA sequencing, real-time PCR, protein expression, and tissue culture
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tools to support current business processes. Gain experience gathering software and systems requirements. Learn data modeling, data mapping, and data transformation. Train in developing reports utilizing
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association studies, and interpret their results in the context of economically important traits. Evaluate and improve genomic prediction models for use in cultivar development programs. Gain experience
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, COMPASS-31 measures, etc. The project may include descriptive analysis, multivariable modeling, and integration of findings across epidemiologic datasets to improve understanding of infection-associated
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surveys, electronic health records, cancer registries, and administrative claims databases to investigate cancer risk factors, screening practices, follow-up services, survivorship, differences in health
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modeling techniques to identify patterns, trends, and emerging public health concerns. Design and evaluation of interactive data visualizations and dashboards to communicate scientific findings. Best
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Health Interview Survey, and Behavioral Risk Factor Surveillance System) and healthcare databases (e.g., Medicare and Medicaid) to investigate the burden of vision loss, trends over time, and relationships
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Young, PhD, MPH ([email protected] ). If you have questions about the nature of this opportunity, please contact the mentor(s). Anticipated Appointment Start Date: September 13, 2026. Start date is flexible