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George Emil Palade University of Medicine, Pharmacy, Science, and Technology of Târgu Mureș | Romania | about 10 hours ago
.. Image registration methods: a survey. — classic, highly cited survey covering geometric transforms, similarity metrics, and evaluation. Image and Vision Computing 21 (2003) 977–1000. Guan, SY., Wang, TM
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Position Summary: Rutgers, The State University of New Jersey, is seeking a Physician Specialist for the department of Medicine at the Robert Wood Johnson Medical School. The Advanced Cardiac Imaging
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placement in job. Demonstrated proficiency with computer skills and software programs used for image examination viewing and interpretation, documentation, and report generation Maintenance and Qualifications
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. Posting Summary Rutgers, The State University of New Jersey, is seeking a Physician Specialist for the department of Medicine at the Robert Wood Johnson Medical School. The Advanced Cardiac Imaging
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group encompasses expertise in AI, data science, machine learning, computer vision, NLP, production deployment, cloud infrastructure, data engineering, project management standards, and data labeling
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University of Texas Health Science Center San Antonio | San Antonio, Texas | United States | about 7 hours ago
Laboratory Sciences, Emergency Heath Sciences, Medical Sciences and Respiratory Care and master’s degree programs in Imaging Sciences, Medical Laboratory Sciences, Physician Assistant Studies, Respiratory Care
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, Clinical Engineering, Information Technology and hospital staff to ensure the integrity of the imaging systems. Imaging Informatics staff is involved in the ongoing task of evaluating and optimizing
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heading MD/DO degree. Ohio and Kentucky medical license. Completion of four year Radiology residency/post-graduate training. ABR/AOBR certified or eligible. Additional Qualifications ConsideredEmpty heading
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projects and deliverables May supervise undergraduate students working on the AI/ML projects QUALIFICATIONS PhD (or equivalent) in Machine Learning, Computer Science/Engineering, Biomedical Engineering, or
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Learning and Computer Vision Objetives: This work aims to study, develop and implement computer vision methods to detect and classify areas with imaging alterations from MRI and CT scans