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of hyperspectral and ultraviolet capabilities on NASA’s upcoming ocean color satellite missions, PACE, GLIMR and SBG, to infer biological and biogeochemical constituents from the derived optical properties
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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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computing (HPC) environments and include data assimilation techniques in a Bayesian framework. Under the guidance of a mentor, the participant will identify and integrate multiple data streams into the model
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received by November 1, 2025. Preferred skills: Demonstrated experience in modeling and applied statistics including machine learning, Bayesian statistics, multivariate statistics, model assisted estimation
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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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in battery research; and (5) microscopy/spectroscopy analytical techniques are essential requirements. A proven track record evidenced by publications in top quality journals is essential, and direct
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completion by Fall 2025. Degree must have been received within five years of the appointment start date. Preferred skills: Candidates with a track record of publication in peer-reviewed journals, grant writing
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collection and data analysis over time tracking the storage study trends investigation of the bacteriophage excipient and its relationship to a mammalian cell culture host model research of mammalian cell
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the U.S. Department of Defense . Qualifications The ideal candidate will have a degree in engineering and should have a demonstrated track record of collecting and organizing data as well as experience with