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for issues presenting at main reception. The LSC is an ambassador of the DFCI patient experience while efficiently managing the patient check-in process; uploading outside imaging into Epic, being responsible
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teaching faculty in Computer Vision and Image Processing to lead the course, "Machines that see," which introduces students to core computer vision concepts, a vital area of AI. This role involves delivering
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Range $52,021-85,800/year Type of Position Staff Position Time Status Full-Time Required Education PhD Click here for more information about equivalencies: https://hr.uky.edu/employment/working-uk
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equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience No experience required. Required License/Registration/Certification KY Radiation Operator’s License at time of
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» Electronic engineeringEducation LevelPhD or equivalent Skills/Qualifications The Candidate should demonstrate knowledge and practical experience in visual systems, image processing and analysis, as
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. This position will work all shifts (day, night and graveyard) including weekends/holidays. Performs various radiographic exams and processes images on various archival systems. Professionally accountable
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Assistant, Associate or Full Professor without tenure, UW Pediatric Cardiology, non invasive imaging
invasive imaging Position Details Position Description The Department of Pediatrics at the University of Washington is seeking a non tenured faculty position as full time Assistant, Associate, or full
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proper archiving protocols for processing and storing all acquired images related to procedures. Maintain patient confidentially and demonstrate exemplary customer service skills. Performs Quality Control
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will not process applications sent by email and/or post. As part of … Where to apply Website https://www.academictransfer.com/en/jobs/357575/postdoc-advanced-ultrasound-arr… Requirements Additional
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. Such a comprehensive and detailed image of the lithospheric structures is expected to improve our understanding of the CAOB, given that the clustering process followed by the modelling, will encompass