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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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, etc.) Knowledge of environmental health science highly preferred Research with microplastics For training with the SSS, it is preferred that you have a PhD or be a postdoctoral researcher For training
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data analysis, data visualization, data modeling, database design, and/or data curation Experience using Microsoft Power BI and Excel to analyze data and develop reports, dashboards, or other data
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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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Participation Program at the U.S. Department of War . Qualifications The qualified candidate will be a current faculty member at an accredited institution of higher education and possess a PhD in Public Health
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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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machine learning methods, including cluster analysis and predictive modeling, to identify distinct phenotypes of diabetes and characterize factors associated with disease onset, progression, complications
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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