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) conducts basic and applied research on economically important diseases affecting U.S. livestock and poultry to generate knowledge and technology that reduces economic losses, prevents foodborne illnesses
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opportunities to conduct environmental scans and technology assessments of emerging AI capabilities; identify and characterize priority AI use cases across the Biothreat Radar signal-to-action pathway; explore
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improve nutrient use efficiency and advance our knowledge of dairy agroecosystem soil-plant-nutrient interactions. In addition, results will support dairy and agri-environmental stakeholder efforts
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application of foundation models for fungal DNA and protein sequences. With ARS and external AI knowledge-holders, you will adapt long-context DNA language models to fungal genomes. These DNA-language models
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, food science/technology, or a closely related field). Degree must have been received within the past five years or anticipated to be received by 12/31/2026. Preferred Skills: Knowledge of molecular
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. soil science, biosystem engineering, biogeochemistry). Degree must have been received within the past five years, or anticipated to be received by 10/1/2026. Participants cannot operate government
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research to deliver lifesaving products including knowledge, technology and medical material that sustain the combat effectiveness of the Warfighter. Areas of focus include tropical infectious diseases and
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. Preferred skills: A strong background in at least one of the following areas: bioinformatics, quantitative genetics, or molecular engineering. Organismal and/or genomic knowledge pertaining to at least one of
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practices affect latex yield and quality; Demonstrate knowledge of latex extraction, purification, and concentration processes used in pilot-scale operations; Evaluate and optimize processing methods
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assessment and scientific knowledge development within a federal research setting. Learning Objectives: Through this mentored research experience, you will develop knowledge and research skills in