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retrieval algorithm development with focus on using the polarimetric signals, the new FIR or sub-mm bands, and/or the ML/AI approach; (3) ML/AI application on system/pattern tracking on satellite images
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inference (otherwise known as spectral retrieval), which involves using forward models in conjuction with Bayesian or machine learning-based techniques in order to derive posteriors on parameters of interest
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. The main techniques include measurements of surface deformation and topography with synthetic aperture radar (SAR) interferometry with both satellite and airborne SAR (NASA UAVSAR), pixel offset tracking
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-consistent Bayesian framework. This analysis can then be expanded to include the likelihood space of the cosmic ray injection and propagation models simultaneously, since the GMF modeling depends
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. Radio occultation are limb soundings with high vertical resolution where the delays of the radio signal traversing the atmosphere are used to infer radio refractivity, a magnitude essentially proportional
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missions. Theoretical developments on dust thermodynamics, dynamics, optical properties, and the statistical inference of dust properties are timely with ongoing dust observations from JWST and the upcoming
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national scale programmatic decisions and policy. Specific activities include: Operationalize, and where needed, improve Bayesian spatio-temporal feral swine abundance model allowing predictions to be
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System modeling - Statistics and data science (especially, multivariate statistics, Bayesian statistics) - Remote sensing theory (e.g., radiative transfer physics; algorithm development) - Remote sensing
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data and for making statistical inferences from survey data; (3) developing plans and techniques for follow-up observations of discovered exoplanets to measure masses and/or atmospheric properties; (4
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will be trained in bioinformatics and data analysis, including genome assembly, annotation, and phylogenomic inference using high-performance computing resources. In addition to technical skills, you