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Field
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-driven biomarkers Initial focus will be placed on projects designed to refine and validate artificial intelligence (AI) algorithms for analyzing OCT imaging in diabetic macular edema (DME). Data processing
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work under the supervision and mentorship of Piotr Slomka, PhD, Director, Innovation in Imaging, Professor in Division of Artificial Intelligence in Medicine and Principal Investigator, as part of a
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work under the supervision and mentorship of Piotr Slomka, PhD, Director, Innovation in Imaging, Professor in Division of Artificial Intelligence in Medicine and Principal Investigator, as part of a
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independently and in cooperation with Piotr Slomka, PhD, Director, Innovation in Imaging and Principal Investigator, as part of a medical imaging and artificial intelligence research team within the Department
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biostatistical analysis. Process imaging data to perform blood flow analysis. Maintain Aortic Center database. Discuss the results with the PI and other lab members. Attend/present at seminars and conferences, and
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-laboratory.com/ Center for Innovation in Imaging Biomarkers and Integrated Diagnostics (CIMBID): https://www.cuimc.columbia.edu/news/new-columbia-center-will-leverage-ai-enhance-patient-care Department
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or laboratory purchases) to launch their research lab. These resources are complemented by robust institutional support, including access to biostatistics, image processing, data science, software engineering
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 4 hours ago
cycles. Understanding these complex interactions requires measurements that go beyond traditional multi-spectral imaging. Imaging spectroscopy—capturing the full contiguous spectrum from the Visible
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motivated Preferred Qualifications: Experience with serial section EM Histology Viral and immuno labeling Stereotaxic surgery Image analysis software and systems (e.g. FIJI/ImageJ, EyeWire) Light microscopy
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longitudinal consistency and data quality, including parameter tracking, protocol versioning, and rigorous QC frameworks Implementing, validating, and extending image-processing and analysis pipelines