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. Experience in experimental work, data collection, and system troubleshooting is desirable. Familiarity with ultrasound imaging, biomedical instrumentation, image processing, or machine learning is desirable
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at a computer workstation for extended periods of time; and occasionally working at heights above four feet and/or in confined spaces. Also involves regular to occasional risk of injury from moving
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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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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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Academic Discipline To learn more about Cornell’s non-union staff job titles and pay ranges, see Career Navigator . Union Positions The hiring rate of pay for the successful candidate will be determined in
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vision frameworks, applied machine learning techniques, and medical imaging standards Develop user-friendly front-end interfaces, web dashboards, or software demonstrators to make biomedical image analysis
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data dictionaries for discrete data. Write, Implement, and develop efficient code and machine learning tools and pipelines for data processing and analysis. Work with collaborators to implement emerging
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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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; aboveground biomass; fuel-density indicators; and other ecological and hydrologic indicators. Apply appropriate GIS, image-processing, statistical, and machine-learning methods to develop spatially explicit
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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