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of a mentor, the participant will use a range of phylogenetic methods (including Bayesian) to study how interspecies transmission, genomic reassortment, and farm production practices affect the evolution
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, and analysis of large, diverse datasets that benefit from high-performance computing (HPC) clusters. The objective of these fellowships is to facilitate cross-disciplinary, cross-location research
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. Investigate options to lower energy consumption and carbon intensity of downstream aspects of the production of packaged leafy greens. Learning Objectives: Under the guidance of a mentor(s), the selected
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Objectives: As an educational opportunity, learning objectives for the participant include: Develop basic proficiency in reviewing audio recordings to detect vocalizations of target wildlife species and other
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activation, vascular dysfunction, and disease progression. The selected candidate will explore how manufacturing conditions influence MSC-EV production and function in the context of SLE. Learning Objectives
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documenting progress on data processing. Opportunities may also be available to participate in field data collection at various locations in the Pacific Northwest. Learning Objectives: As an educational
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an enhanced user interface that incorporates various functionalities to support adverse event analysis. Learning Objectives: You will join generations of scientists in the field of pharmacoepidemiology
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. Learning Objectives: You will join generations of scientists in the field of pharmacoepidemiology, pharmacovigilance, and drug safety through this learning opportunity. You will receive mentorship by experts
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against past reviews. The goal is to deliver validated Elsa prompts, best practices, and limitations for use of Elsa in summarizing industry submissions. Learning Objectives: You will join generations
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regulatory science advancement and review decision for emerging therapeutic classes. Learning Objectives: The fellowship integrates five key training areas: (1) FDA systems training in DARRTs and Docubridge