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plant phenotyping and image-based data collection. Experience using R, Python, or other statistical/data-analysis software. Experience working with QTL mapping, GWAS, genomic selection, genomic prediction
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 6 days ago
collaborative research program’s scientific resource in advanced cell biology, microscopy, imaging analysis, immunology and/ or multi-omic data interpretation. This senior scientist will support multiple NIH- and
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endovascular aortic repair, including protocol development, study design, clinical data collection and management, and imaging data organization and analysis. Participates in vascular imaging research
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and spatial analysis techniques to large-scale spatial transcriptomics and imaging datasets, using tools such as MuSpAn to identify spatial biomarkers and uncover the biological mechanisms driving
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STFC - The Science and Technology Facilities Council; | Harwell, England | United Kingdom | 21 days ago
a Research Assistant. The role will involve developing and integrating 3D-printed microfluidic devices with a custom super-resolution optical microscope, as well as contributing to image analysis and
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tissue collection, cryopreservation, processing, and histological analyses Perform immunostaining procedures, microscopy, image acquisition, and quantitative image analysis Support studies related to stem
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Imaging Lab provides clinically relevant visualization, analysis, and post-processing of complex medical imaging data, supporting both adult and pediatric patient care across the University of Michigan
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. Chris Stolk (University of Amsterdam). You will interact with researchers with backgrounds in inverse problems, numerical analysis, scientific computing and imaging, and with project partners working
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | about 18 hours ago
Interferometric radio-telescopes rely on the analysis of the interference of signals collected from multiple radio antennas. Collecting, processing, and combining such signals resulting from interferences between
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biomedical imaging methods, with particular emphasis on optical, ultrasound, and photoacoustic technologies. Working under the supervision of Dr. Ying Jiang, the candidate will contribute to the development