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research will address the following four objectives: - a descriptive study of the external exposome associated with mayors’ health and a comparison of mayors’ health parameters with those of the general
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based on quantified signals using few bits or even one-bit. It will address the problem of estimating the parameters of signals, such as amplitude, frequency, time-of-arrival, delays, noise magnitudes
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models of macrophage polarization and host response. Incorporate quantitative microscopy data to estimate parameters related to: Bacterial localization (intra-/extracellular), Replication dynamics
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reconstruction of neutrino events using the simulation of the DUNE distant detector and compare the expected performance of DUNE to low-energy neutrino interactions with SBND - Estimate the systematic
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nanophotonic sensors that disentangle multiple physical parameters from complex optical spectra. This approach raises fundamental questions on how information about parameters is optimally encoded and retrieved
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conditions. Conversely, data-driven approaches demonstrate strong performance in locomotion recognition and state estimation but frequently lack physical consistency, transparency, and robustness when exposed
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data is used to estimate vegetation 3D structure parameters such as height. The radar data (Interferometric Synthetic Aperture Radar or inSAR) was collected by spaceborne ALOS/PALSAR and airborne UAVSAR
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improve estimation of rates of snow accumulation, snowmelt, ice melt, and sublimation from snow and ice worldwide at scales driven by topographic variability. We seek projects focusing on the use of machine
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equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience No experience required. Required License/Registration/Certification None Physical Requirements This position
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equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience No experience required. Required License/Registration/Certification None Physical Requirements This position