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machine learning. Essential Duties and Responsibilities: Design and conduct experimental studies using structured, correlated, or quantum light to probe samples with reduced dose. Carry out X-ray imaging
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scientists. The emphasis will be on enabling high-fidelity image reconstructions from sparse and noisy data, leveraging state-of-the-art methods in compressed sensing, optimization, and machine learning
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equivalent. Strong background in machine learning and computer vision. Prior experience in data-efficient classification, synthesis, and detection is preferable. Strong coding skills in scientific
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processing, machine learning, and MRI is desirable. The position will be funded by NIH awards on high-resolution brain relaxometry, free-breathing cardiac MRI, and MR spectroscopic imaging using machine
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equivalent. Strong background in machine learning and computer vision. Prior experience in data-efficient classification, synthesis, and detection is preferable. Strong coding skills in scientific
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, transfer learning and few-shot object detection and segmentation, 3D computer vision. Preferably with publications at top AI conferences, such as CVPR, ICCV, ECCV, NeurIPS, ICML and ICRL. Strong research
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monitoring quality control processes to ensure integrity of research. Primary Responsibilities Train users in specific research protocols; develop training materials. Assist users in learning 2D and 3D image
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, collate processed images and sequence of acquisition and label appropriately. Schedule patients for procedures; assist with clerical functions. Charge MR procedures and supplies in EHR Load and operate
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Classification Title: Research Software Engineer IV Classification Minimum Requirements: A Bachelor’s Degree in computer or physical science, statistics, bioinformatics, analytics, or similar
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, machine learning/artificial intelligence & image processing techniques. You can determine the right tools for the job (from the hardware platform and programming language to the algorithms and libraries