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veterinary importance. Under the guidance of the mentor(s), the fellow will contribute to the design, implementation, and data analysis of field-based research on new world screwworm and mosquito-borne
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satisfactorily complete suitability and reliability screening and analysis. The participant must maintain the standards prescribed for the Army Biological Surety Program, which may include federal drug screening
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: Understanding of pharmacovigilance data analysis workflows; Full-stack web-based application development; Integration of GenAI technologies into InfoViP platform. Mentor: The mentors for this opportunity
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
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seed production Ability to plan and conduct research experiments to understand genetics underlying traits of interest Ability to perform statistical analysis of experimental data, and conduct
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to experimental design and data analysis, publish findings in peer-reviewed journals, and participate in the communication of results to scientific and stakeholder audiences. Learning Objectives: This fellowship
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growing conditions. We seek a highly motivated fellow to learn about assessing multi-omic data and perform comprehensive genetic and genomic analysis. The candidate will have an opportunity to gain
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perform both independently and collaboratively within a multidisciplinary research team, contribute to experimental design and data analysis, publish findings in peer-reviewed journals, and participate in
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control and statistical analysis Learn about optimizing liquid handler to automate biomolecule assembly on electrodes Participate in development of techniques for high throughput optimization of sensing
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plant physiological sensor systems to monitor environmental and crop dynamics. Strengthen data management and analysis competencies through the collection, processing, and management of large