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We are seeking a motivated and collaborative individual to join our team as a Research Project Manager. This role offers an exciting opportunity to contribute to the University’s Imaging Facilities
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focus primarily on computational modelling of infant behaviour and experience, using approaches from machine learning, unsupervised learning, dynamical systems, information theory, or related quantitative
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are looking for: Skills/ experience required for this exciting role include: Essential Postgraduate degree (MSc) in computer science, AI, or similar. Demonstrable competence in machine learning, medical image
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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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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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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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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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; 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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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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in the analysis of mitochondrial function, advanced imaging and therapeutic intervention studies would be advantageous. Successful candidates may be subject to pre-employment screening carried out