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on their morphology. A step to optimise the image processing parameters, which will help to obtain average 2D classes, will then be necessary. Subsequently, it will be possible to verify the quality of the 2D classes
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photoluminescence imaging (HMSPL) to detect and study previously unrecognized anatomical and chemical contrasts that enable better identification of the whole or partial specimens analyzed. - Data processing and
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Science, Signal and Image Processing, Computer Vision, Geomatics, or a related field, with skills in: -Python and/or C++ programming; -Image processing, 3D geometry, or computer vision; -Processing and analysis
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 5 days ago
Hill seeks a computational postdoctoral researcher to develop and apply methods for integrating single-cell sequencing and imaging data within controlled cell-line model systems. The project focuses
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imaging modality. Preferred Qualifications: Work Experience: Preclinical MRI MRI pulse sequence development and optimization Quantitative MRI analysis Image reconstruction and image processing using Bruker
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/Absorption Spectroscopy preferred). Demonstrated experience with high-speed imaging, data acquisition, and complex optical alignment using lasers and advanced detectors. Experience processing dense
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, multispectral and infrared imaging, spectroscopy, image processing, computational analysis, and clinical investigation to develop technologies that can improve diagnostic accuracy and reduce disparities in care
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-edge detectors and provide data processing, visualisation and analysis solutions that enable researchers to rapidly interpret results from X-ray scattering, imaging and spectroscopy experiments. Our
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 17 hours ago
Posting Information Posting Details Department Biomedical Res Imaging Ctr - 426001 Posting Open Date 09/29/2026 Application Deadline 10/12/2026 Open Until Filled No Position Type Postdoctoral
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regulate tumor cell state patterning and how these processes drive tumor progression and clinical outcome. With the help of our recent ERC Starting Grant, we are building a multidisciplinary team at the