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automated Python workflows to pre-process, segment (ROI extraction), motion-correct, and clean high-dimensional calcium imaging datasets. Neural-Behavioral Alignment: Synchronize time-locked, millisecond
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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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research and teaching team in the field of image information engineering. The team’s work combines vision systems and computer vision, AI-based image data analysis, VR/XR technologies, and the integration
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imaging technologies, behavioral neuroscience approaches, molecular techniques, and data analytics to answer important scientific questions and advance translational discoveries. What You'll Do: Lead
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researcher with strong skills in artificial intelligence, machine learning, deep learning, and computer vision, with the ability to apply these methods to ultrasound image/video analysis and biomedical data
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of creating robust radio frequency fingerprinting (RFF) systems using machine learning. The successful candidate will have significant experience in signal processing or machine learning, and an outstanding
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reconstruction, processing and quality-control tools in a transparent and reproducible way. You will have the opportunity to: Develop a modern, open and extensible software ecosystem for optoacoustic image
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and learning theory, alongside applied technologies, such as machine learning, pattern recognition, and perceptual information processing, in addition to the classical theory of computation
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image analysis packages such as Freesurfer, FSL, SPM, or 3DSlicer, or using machine learning or artificial intelligence models would be advantageous What We Offer The appointee would be exposed to ample
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Magma Research Associates / Magma Research Fellows to develop and maintain the Magma computer algebra system (http://magma.maths.usyd.edu.au/magma/ ). These positions are based at the University