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in computer science, bioinformatics, physics, applied mathematics, or a related field ‒ Strong theoretical foundations and practical skills in AI and image processing ‒ Strong experience in Python and
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, biomedical engineering, medical imaging, or related field Experience in deep learning with practical implementation Strong Python skills and relevant frameworks Experience with large clinical imaging datasets
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Job Description Required Qualification: (as evidenced by an attached resume) * Doctoral degree (or foreign equivalent) in optical imaging, biomedical engineering, microbiology, multi-omics, or a closely
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analysis Experience working with R and Python for data analysis and image processing Familiarity with image analysis tools (e.g., ImageJ/Fiji, CellProfiler, or similar platforms) is desirable Education and
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of imaging technology and that drives the dissemination of that technology through a multi-pronged education strategy to scientists around the world. ABC was intentionally designed to maximize scientific
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RAP opportunity at National Institute of Standards and Technology NIST Enabling Science from Big Microscopy Image Data Location Information Technology Laboratory, Software and Systems Division
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carries out technological research in the areas of optical component technology, optical instrumentation (spectro-radiometric imaging instruments in the visible spectrum and infrared range, interferometry
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, biosystems engineering, or closely related fields Strong command of written and communication skills Experience in image processing, working with plants, and using AI is desirable Proven ability to collaborate
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qualification; (ii) demonstrate research skills in imaging science and machine learning, particularly on image reverse engineering, fake image and video detection, statistical detection models and mathematical
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of a 3D ultrasomics AI prognostic system for adolescent idiopathic scoliosis progression via longitudinal surveillance scans”. Qualifications Applicants should have experience in image processing and