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to the development of the research milieu. Requirements PhD degree in a field closely related to the position (e.g., computerized image analysis/processing, machine learning, artificial intelligence, data science
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in AI. Previous publication record in relevant fields: AI, machine learning, computer vision, etc. Previous successful project on a relevant topic. Good knowledge of statistics, probability
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of MAE machine shops as needed. Support for the MAE Research Machine Shop with projects and prototype fabrication may be required. Other duties may be assigned as necessary. Minimum Education Required
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of Department of Ophthalmology in the University of Colorado School of Medicine focuses broadly on quantitative and machine learning techniques in multiple modalities of medical imaging (e.g. fundoscopy images
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Experience with super-resolution ultrasound, US localization microscopy, photoacoustic imaging, elasticity imaging, pulse encoding, solving inverse problems, machine learning, AI, SolidWorks, 3D printing FLSA
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resonance imaging) Fluency in English Experience and knowledge: Required: Experience in computer programming Expertise in Python programming for Machine and Deep Learning, e.g., sklearn, pytorch, tensorflow
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Current Employees: If you are a current Staff, Faculty or Temporary employee at the University of Miami, please click here to log in to Workday to use the internal application process. To learn how
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Skip to main content Recruit Home Open Recruitments Abdominal Imaging/Cross Sectional Interventional Radiology Fellowship 2027-2028 (JPF10673) Abdominal Imaging/Cross Sectional Interventional
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machine learning computer models (i.e. algorithms) for medical imaging, bioinformatics (i.e genomics data including single cell and spatial omics) and drug development applications. Performs analysis
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interfaces with imaging platforms. Operation of ARTIS Pheno hybrid IR and Vascular imaging rooms. Able to produce and modify quality post operative imaging and be able to identify appropriate anatomy. Job