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-free imaging technologies and their translation to biological research or industry. The successful applicant will play a leading role in developing and implementing classical concepts for imaging within
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computing. With extensive experience in medical image analysis, computer vision, and AI systems through collaborations with leading institutions. Key Responsibilities: Conduct advanced research in the areas
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development of new light-based and label-free imaging technologies and their translation to biological research or industry. The successful applicant will play a leading role in developing and implementing
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, operation of the scanner, data acquisition and analysis, image evaluation, and statistical analysis. The fellow will also be expected to prepare manuscripts and conference abstracts related to projects and
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Education: Ph.D. or M.S. in Computer Science, AI, Computer Vision, or related field Experience: 3+ years in computer vision and deep learning, with specific focus on microscopic imaging, generation
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deliver high-quality teaching across undergraduate and postgraduate programs—including honours and Higher Degree by Research (HDR) supervision—with a strong focus on anatomy, imaging anatomy, and
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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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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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years cross sectional imaging and/or computer assisted imaging preferred with one year full time experience in MR preferred. Demonstrated superior technical knowledge and expertise in cross sectional
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variety of imaging-related research projects. Primary Functions Assist with image exporting and data organization Assist with filing and recordkeeping Assist with image processing; perform registration