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variants, EfficientNet, ResNet, U-Net) Image processing and computer vision techniques Python programming and relevant libraries (e.g., OpenCV, NumPy, scikit-learn, Pandas, Matplotlib) Experience with
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biosensor imaging, and behavioral pose estimation. The specialist will integrate multimodal datasets and apply advanced statistical and machine-learning methods to uncover relationships between gene
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expertise in plant sciences, optical technologies, and data processing. The existing imaging Mueller polarimeter, which is sensitive to the microstructural properties of biological tissues, will serve as the
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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. About the Role The post is funded for 3 years and is based in the Big Data Institute, Old Road Campus. You will join an interdisciplinary team of researchers spanning imaging science, machine learning
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to both contribute to new advances in a field with real world applications. Your research focus will be on challenges related to computer vision for geophysical image data. You will investigate and develop
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analysis in cleared tissues Working knowledge of image analysis and automation is welcome Examples: Fiji ImageJ, Python for batch processing, napari, basic ML or deep learning toolchains Advantageous but not
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. Demonstrated experience applying statistical modeling and/or machine learning methods to research problems, e.g., text mining, natural language processing, image segmentation, voice recognition, etc. Knowledge
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. Machine learning will assist in artifact correction, segmentation, and material classification. By combining experimental imaging, simulation, and data-driven interpretation, this approach will deliver high
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. Assist radiologist with procedure protocoling and performance. Start I.V.s, administer contrast media as directed and per protocol. Evaluate MR scans for technical quality, collate processed images and