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, plant water/nutrient hydraulics, chlorophyll fluorescence, and root system architecture adaptation. Controlled (greenhouse/glass house/growth chambers) and field research experience. Comprehensive
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of Salmonella survival, adaptation, persistence, and transmission in these systems, you will engage in the development of science-based strategies aimed at reducing Salmonella contamination during pre-harvest
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matter experts coordinate during a public health emergency. Build skills in managing priorities and adapting to changes in a fast-paced emergency response environment. Mentor(s): The mentor
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to classify rangeland plant species, and (2) using transfer learning to adapt deep learning models for imagery analysis to varying UAV sensors and conditions. These techniques will allow you to identify and
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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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characteristics, photosynthetic capacities, adaptability, competitiveness, and responses to stress and other fitness criteria of wild-type versus herbicide-resistant plant biotypes. You will contribute to studies
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telemetry to support holistic situational awareness and decision support in combat casualty care Adapting large vision-language models (VLMs) and multi-modal foundation models, including prompt engineering
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diverse turfgrass germplasm, you will learn methods for evaluating adaptation, color, quality traits, and environmental stress tolerance that support the development of improved turfgrass cultivars. You
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multidisciplinary research in the fields of dry forest restoration, fire ecology, post-fire forest management, and climate adaptation. This opportunity is with the Disturbance and Restoration Ecology (DARE) Team