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permeability assays and imaging-based analyses); 3) Analytical method development using fluorescence microscopy, ELISA, and LC–MS for drug quantification; 4) Data management and interpretation workshops
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in preharvest and post-harvest production and processing. This project will focus primarily on safety and quality inspection using spectral imaging techniques such as fluorescence, reflectance, and
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this fellowship, you will participate in research projects involving canine biometric data, looking for novel ways to identify and individuate dogs using neural networks, local feature mapping, image classifiers
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the guidance of a mentor, the participant will be involved in the following activities: Gain expertise in advanced imaging technologies—including RGB, multispectral, and hyperspectral systems—for plant
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areas/techniques: cell culture (i.e. cell manufacturing) extracellular vesicle manufacturing and characterization high content imaging biomaterials bioreactors multiomics (proteomics/metabolomics
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using sensors, data loggers, and thermal images Lab experiments examining how nutrition affects performance and physiological traits Field experiments quantifying behavior of insects Mentor(s): The mentor
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, colony formation assay, cell imaging, and apoptosis/ROS assays. Familiarity with natural products chemistry or phytochemical analysis, including extract preparation, chromatographic separation, or bioassay
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data have the potential to rapidly check animals and serve as a tool for farmers, ranchers, and researchers. Current research is being done by PI to automate imaging and spectral data to develop and
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and maintain equipment for measuring gas exchange, image and spectral data collection and analysis, and the effect of different turfgrass management options on its visual quality, sustainability and
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of scientific research and laboratory operations with specific and expanded opportunities associated with microscopy using a Keyence Imaging System, enzyme kinetic assays using microbial cultures, supernatants