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intelligence Sensor integration and fusion for distributed simultaneous localization and mapping (SLAM) Machine perception for object detection, identification, and tracking Test, Evaluation, Verification, and
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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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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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received within five years of the appointment start date. Preferred skills: Candidates with a track record of publication in peer-reviewed journals, grant writing, and delivering oral presentations
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Tracking progress via a Weekly Activity Report Where will I be located? Albuquerque, New Mexico What is the anticipated start date? The Test and Assessment (TS) Department, Test Diagnostics Branch at DTRA is
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identification skills, previous waterbird or wetland field experience, banding or tracking studies, spatial modeling, writing or editing scientific papers, and running basic statistics are desirable. The most
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opportunity to explore cutting-edge techniques such as turbulence modeling, interface tracking, and solution acceleration, which are relevant to both riverine and broader fluid dynamics applications
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wet lab methodology and small and/or large animal models are also required. Specific research background in the area of extremity trauma is highly desired. A track record of publication and excellent
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Participation Program at the U.S. Department of Defense . Qualifications The ideal candidate will have a bachelor's degree in engineering and should have a demonstrated track record of collecting and organizing
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such as turbulence modeling, interface tracking, and solution acceleration, which are relevant to both riverine and broader fluid dynamics applications. Collaboration with interdisciplinary teams will