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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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 24 hours 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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, 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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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
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Deutsches Zentrum für Neurodegenerative Erkrankungen | Magdeburg, Sachsen Anhalt | Germany | 7 days ago
stages onward, and the development of disease-stage-specific imaging and This position is part of the DFG Research Unit "Layers of Memory" (subproject P7), a consortium spanning Bochum, Bonn
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systems. Spectroscopy, hyperspectral imaging, remote sensing, IoT, and process measurements are important data sources within this broader framework rather than requirements defining a single experimental
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and Prevention Group of HKU (stroke.hku.hk) to assist in neuroimaging data acquisition and analysis, write-up of the results, as well as training of students Apply image analysis skills on clinical and
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with scientific programming and quantitative data analysis, particularly in Python, is welcomed. Experience with droplet generation, thermal diagnostics, image processing, or automated experimental
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Resonance Imaging to Molecular Signatures: Generative AI for Virtual Biopsy in Gliomas - Gliogen X will be to develop a non-invasive virtual biopsy based on magnetic resonance imaging to molecularly classify