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of Biomedical Engineering (SBME). The successful candidate will work on advanced machine learning applications in computational pathology, medical imaging, and clinical text analysis. They will be expected
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collaboration of nearly 100 faculty and staff within the colleges of Engineering, Medicine, and Liberal Arts (https://www.iibi.uiowa.edu ). The facility includes 3T, 3T head only and 7T research scanners
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PhD projects in the life sciences. We are looking for early career scientists with a vivid interest in interdisciplinary projects to image cell dynamics from the subcellular to the patient level. PhD
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 2 hours ago
candidate will be expected to publish in peer-reviewed journals and contribute to the broader NASA Earth Science community's preparation for the next generation of orbital imaging spectrometers. Point
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in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses on methodological development in cryo
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: Semiconductor processing or microfabrication Computational modelling (COMSOL, MATLAB, or similar) Experience with optical/THz systems is beneficial but not essential Curiosity, problem‑solving ability, and
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, incorporating their own ideas and experience in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses
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: Processing biomedical images of different structures of the human eye using specialized software (Matlab, Python). Data handling using statistical software and Excel. Experimental measurements in
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. The applications Imaging IT supports are used by the Medical Center to acquire, store, report, and distribute imaging studies. The incumbent must have expert-level imaging informatics, leadership, and
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skills, preferably some experience with PyTorch. Ideally, knowledge in computer vision and object detection/segmentation. Motivation to independently delve into new and current research topics. Willingness