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scientists and subject matter experts. The opportunity also includes educational exposure to generic drug user fee program planning, workflow analysis, process documentation, and knowledge management
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of the relevant fields. Preferred skills Knowledge of food chemistry, food engineering, biochemistry, and plant physiology. Knowledge and/or experience in purification, characterization, modification, and structure
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& Safety Assessment Research Unit (QSARU) at the U.S. National Poultry Research Center, Athens, GA. The mission of QSARU is to provide scientific knowledge, technologies, and strategies to address critical
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available for enthusiastic candidates interested in furthering their interests/knowledge in the control of agricultural insect pests. The overall research goal of the group is to develop new pest management
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, or anticipated to be received by 5/31/2027. Preferred skills: Knowledge of swine veterinary science, virology, and/or immunology Knowledge and ability to follow ethical guidelines for animal care and use in a
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or medicine related field). Preferred skills: Analytical, written, and oral communication skills, and have a profound interest in projects that advance regulatory science and public health. Knowledge in
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interested in furthering their knowledge and hands-on experience in studying plant physiology. You will be a part of research that investigates the responses of temperate fruit trees to stress conditions and
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"omics" related knowledge Stipend $3,422.00 – $3,814.75 Monthly Point of Contact Michele Eligibility Requirements Citizenship: U.S. Citizen Only Degree: Bachelor's Degree or Master's Degree received within
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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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within server-side development environments such as RStudio, JupyterLab, and RSConnect, and will document development decisions and contribute to knowledge-sharing within the team. Project 4: Data