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communication, organization, and interpersonal skills Attention to detail and accuracy Knowledge of digital image technology, photographic processes and ability to evaluate analog and digital image quality
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Job Purpose To provide advanced technological and specialist services and expertise in MR imaging, playing a central role in the delivery and development of leading-edge imaging services
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platforms (nano-XRF imaging, aging test benches, X-ray microtomography, etc.). Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5129-MARCLO-108/Candidater.aspx Requirements Research
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imaging data, computer models, and statistical tools. The individual will prepare manuscripts and contribute to the development of grant proposals. The McIntyreLab currently conducts research in the areas
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random but can only happen along particular directions. However, as the material is made up of many crystals, and they all have different orientations, the deformation process of a polycrystalline material
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
Posting Information Posting Information Department Radiology - Breast Imaging - 412804 Posting Open Date 02/17/2026 Application Deadline 03/04/2026 Open Until Filled No Position Type Permanent
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. Works collaboratively with biomedical imaging staff to obtain advanced cerebral and systemic physiological imaging. 5. Performs stereotaxic surgery technique, including cisternal infusions, on rats and
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• The Radiology Technical Assistant provides general support to the Imaging Department. This includes preparing the patient for the procedure/ exam, transporting the patient, assisting the technologist to transfer
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:Imaging Services Work Location Lexington, KY Grade Level 13 Salary Range $40.30-63.31/hour Type of Position Staff Position Time Status Full-Time Required Education BS Click here for more information about
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modelling knowledge, incorporate reliability/uncertainty, and/or explainable models. The position is in the Digital Signal Processing and Image Analysis Group, Section for Machine Learning, Department