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, overlap, and opportunities for integration; explore methods for measuring development and performance; analyze how clinical, laboratory, genomic, environmental, event-based, and other surveillance
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to apply laboratory and analytical methods to investigate the underlying mechanisms associated with poultry breast meat quality defects. Strengthen data analysis and interpretation skills using scientific
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potential public health impacts of chemical exposures. Learn ATSDR methods and frameworks for conducting environmental public health assessments and risk evaluations. Gain experience creating data
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public health insights. Train with Registry scientists to apply analytic methods using data from the National ALS Registry and Biorepository. Understand how to identify research gaps, refine research
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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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: Experience with data collection, electronic data management (e.g., Qualtrics), data analysis/statistical software (e.g., SPSS, R) Strong oral/written communication skills Application Requirements A complete
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Experience or interest in artificial intelligence (AI), machine learning, or AI-assisted workflow automation Experience with software testing, beta testing, user acceptance testing, or information system
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science methods for improving public engagement, the National Environmental Policy Act (NEPA) and associated environmental analyses, offshore energy policy, approaches to bringing innovation into government
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response to military relevant stressors, and in identifying nutritional countermeasures. Various methods including molecular assay techniques (e.g. qPCR, ELISA, confocal microscopy, -omics, immunoblots
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established software tools, with opportunities to explore and evaluate emerging analytical approaches. Gain experience measuring physiological responses to root treatments and characterizing plant traits