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approaches. Experience in programming in R, using GitHub, and doing Bayesian statistical analyses with the use of MCMC samplers such as JAGS, STAN, or NIMBLE. Point of Contact Justina Eligibility Requirements
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use of molecular assays such as real-time PCR and next-generation sequencing to study the prevalence of infectious diseases in the target study populations. Learning about sample testing under a
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skills: Demonstrated experience in modeling and applied statistics including machine learning, Bayesian statistics, multivariate statistics, model assisted estimation, rarefaction, or wildland fire
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to identify formations with existing wells that could be targeted for laproscopic critical mineral extraction is an active research focus of NETL. This project will be focused on the direct examination
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that should be targeted in restoration and land treatment practices. Second, managers need to know how changes to vegetation structure, driven by disturbances and/or vegetation treatments, influences a
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in several areas. These include, but are not limited to, Using MPS to identify new potential targets for future medical countermeasure development Learning development and characterization
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Objectives: Learn about and participate in Ohia plant propagation and develop targeted studies to increase silviculture capacity. Learn greenhouse, nursery and field operations for developing a disease
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for health diagnostics and continuous monitoring. Current areas of interest for the project are recognition element integration, microfluidics, circuit design and computer interfacing. This project targets
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grammar & machine learning for inverse-designing polymers with targeted thermo-mechanical properties by tuning the polymer chemistry & architecture, catering to Artic & Space applications. The framework
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-consequence pathogens, and assist in CONUS and OCONUS targeted biosurveillance trainings and assay support. Where will I be located? Frederick, Maryland What is the anticipated start date? The USAMRIID is ready