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across BlueMat in solving image analysis challenges, especially segmentation and quantitative extraction development of a correlative image analysis platform enabling automated extraction of sample
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the elucidation of specific mechanisms of water-material interactions. Your tasks individual support for researchers across BlueMat in solving image analysis challenges, especially segmentation and quantitative
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interactions. Your responsibilities include individual support for researchers across BlueMat in solving image analysis challenges, especially segmentation and quantitative extraction. development of a
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the elucidation of specific mechanisms of water-material interactions. Your tasks individual support for researchers across BlueMat in solving image analysis challenges, especially segmentation and quantitative
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Research Associate will contribute to developing and/or applying artificial intelligence, machine learning, and image segmentation and/or data science-based methods to address cutting-edge topics, including
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/segmentation, and image analysis. Empirical evaluations of X-ray based imaging systems and techniques. Interact with collaborators from other institutions and organizations. Train students and staff to perform
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HCI and cybersecurity, to cancer research tools and methods for numerical analysis and machine learning. The research work takes place in a multidisciplinary team with a focus on image processing with
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Job Description Apply now Job Title: Postdoctoral Associate Division: Surgery Work Arrangement: Onsite only Location: Houston, TX Salary Range: Per NIH Guidelines FLSA Status: Exempt Work Schedule
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porosity value), with identification of the local fiber orientation; (ii) higher-resolution binarized (segmented) images. • Analyses: Quantification of porosity, pore size distribution, and calculation
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formation of transverse liquid waves. This work will involve a combination of novel experimental approaches, including PIV, LIF, high-speed imaging, and shadowgraph. The postdoctoral fellow will be