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Field
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diabetes; genetics; infection and immunology; imaging and biomedical engineering; transplantation immunology; pharmaceutical science; physiology and women's health. We also have thriving research programmes
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Description Post-Doctoral Fellow Position in Medical Image Processing (Deep Learning for Trauma CT) The Trauma Radiology AI Lab (TRAIL) in the Department of Radiology & Nuclear Medicine at the University
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
Carolina at Chapel Hill invites applications for a Postdoctoral Research Associate position in astronomical data pipeline development supporting the upcoming Argus Array, with a focus on optimizing image
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 1 day ago
techniques and approaches to difference image analysis, survey-scale photometric calibration and detrending, periodicity searches, and/or other areas. A negotiable fraction of this role is reserved
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your application. Reference letters may be requested via an electronic submission process as your candidacy is considered. The position is currently limited to 2 years and may be renewed for one more
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engineering, medical physics, or related fields, with proficiency in preclinical MRI, image data processing and analysis. Experience in handling and working with rodents is preferrable. Baylor College
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ultrabroadband energy tunability, polarization control, nanometer spatial resolution, and femtosecond temporal resolution. This position is to work on the project: “Nanoscale Hybrids: a new paradigm for energy
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(OpenStreetMap, Copernicus, Google Earth Engine, etc.). Experience in processing, integrating, and visualizing large urban datasets (mobility, environment, infrastructure, demographics, etc.). Programming skills
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immunohistochemistry, along with experience in fluorescent microscopy, image capture and Adobe photoshop are also essential. Main duties and responsibilities Carry out research/experiments. The main duty is to perform
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of precision imaging datasets using supercomputing cluster resources. Support students and trainees involved in infant data processing and analysis. Present novel discoveries at international conferences