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responsible for developing new molecular, serological, NGS and bioinformatic tools for the detection and diagnosis of highly hazardous viral diseases including Hantavirus, Ebolavirus, Marburg virus, Lassa fever
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USDA-ARS Molecular Biology Postdoctoral Fellowship in the Natural Products Utilization Research Unit
Project: The Natural Products Utilization Research Unit develops natural products for use in agriculture, producing more toxicologically and environmentally benign pest management tools and improving
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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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, plant science, engineering, textile technology, and data science. This team is dedicated to developing and improving methods for assessing cotton fiber quality across production, processing, and end-use
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limited to: Developing skills in planning and conducting 3D organoid cell culture procedures. Gaining experience carrying out research studies in organoid biology and nutrition Participating in
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impact leadership decisions around preparedness (e.g., training needs, allocation of staff and other resources, etc.). Findings may be developed into a manuscript and other communications products
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develops genetic resources to help improve resistance to disease and abiotic stress. The research project with which you will participate will focus on the evaluation of diverse germplasm, with special
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communications. Gain experience developing communication items for community members, including newsletters, announcements, and other related content. Explore available collaboration platforms to gain experience
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laboratory workflows, aligning scientific outputs with CDC’s commitment to excellence. Research project: We are seeking a full-time ORISE fellow to train with the Quality team (50%) and the Insecticide
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tools. The opportunity is designed to provide a mentored learning environment centered on technical skill development, applied research experience, and increased understanding of AI-enabled systems and