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artificial intelligence (AI)-based imaging solution for applications in poultry meat. The project will focus on detecting and predicting key safety and quality attributes of poultry meat, such as foreign
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. This fellowship offers a unique opportunity to be at the forefront of groundwater technology, gaining experience on projects ranging from groundwater sampling and geophysical imaging in the field, analysis
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the following areas on their application: Human/Animal Physiology Cell Physiology Endothelial Function Biochemical Analyses and Molecular Techniques Data Collection and Analysis GraphPad Prism Image J Application
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concept to prototype testing and calibration. This solid engineering background will be advantageous to the participant in their future career. Mentor(s): The mentor for this opportunity is Samir Trabelsi
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include the development of predictive models for disease resistance, genome-wide association studies to uncover resistance loci, automated phenotyping approaches using image data, and integrative multi
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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