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, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving ill-posed inverse problems
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all imaging order scheduling via EPIC as well as referral work queue. Assists with outside vendor communications for genetic testing when needed. Monitoring process of orders and financial clearance in
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biology. Please include a cover letter with your application detailing your qualifications and experience for this position. Describe a deep learning project you have executed. Projects in computer vision
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similar educational organizations. Position Responsibilities & Essential Functions Program Responsibilities: Program Delivery, Evaluation and Applied Research - 80% Teach existing 4-H animal science
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Job Title: Adjunct Faculty - Medical Imaging Location: Indianapolis Job Type: Part-time Classification: Adjunct faculty Salary Range: $48.67 Per Contact Hour Reports To: Department/Program Chair
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responsible for washing and storing glassware. Ensures that safe laboratory practices are followed, including the use and disposal of chemicals and hazardous materials. Analyzes data using computer software and
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computer hardware communication bus protocols: USB, I2C, I2S, CSI, Ethernet, SPI, PCIe, HDMI, CAN, serial comms, etc Strong communication - You can explain complex physical behavior clearly, write structured
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tools, cartographic design, image processing, digitization, and data collection (0 to 15 points) ▫ English language level (0 to 10 points) Specific Requirements Requirements: ▫ Hold a Bachelor’s degree or
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The University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 days ago
Data Science, Computer Science, Information Systems, Information Science, Business Analytics, Business Administration, Economics, Public Health, or related field, or equivalent combination of education
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spiral imaging, and new approaches for processing and multivariate statistical analysis of brain imaging. RADIOLOGY AND BIOMEDICAL IMAGING The Department of Radiology and Biomedical Imaging is one