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of 3D+ structure, heterogeneity, and/or dynamics from scattering and/or microscopy data; (2) autonomous analysis and decision making for self-driving and/or human-in-the-loop experiments; (3) computer
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Proficiency in advanced echocardiographic modalities, such as 3D imaging and strain/STE analysis. Advanced knowledge of cardiac pathophysiology, including complex and structural heart disease and congenital
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. Describe a deep learning project you have executed. Projects in computer vision for microscopy image analysis are especially relevant. Include a link to a code repository if possible. If you contributed to a
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schools in the world. For more details, please view https://www.ntu.edu.sg/mae/research . To develop novel inertial microfluidics and impedance-based cell sorter. To develop novel label-free CQAs based
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system using 3D medical imaging modalities (CT, MRI, PET) and explainable AI (XAI) techniques to support medical professionals in improving diagnostic accuracy, reducing workload, and enhancing patient
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University of California, San Francisco | San Francisco, California | United States | about 7 hours ago
and construct Essix retainers Maintain laboratory and stock room areas Radiology Take periapical, full-mouth panoramic, cephalometric radiographs, and 3D CBCT scans Perform radiology procedures in
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across HHMI. The Foundational Microscopy Image Analysis (MIA) project sits at the heart of AI@HHMI. Our ambition is big: to create one of the world’s most comprehensive, multimodal 3D/4D microscopy
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research support. Responsibilities Design and print 3D models, develop Python code, perform experimental spectroscopy tasks, analyze images through Python, write papers, and present research at conferences