2,441 postdoctoral-image-processing-in-computer-science-"EPIC" positions at Duke University
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required to complete a formal Epic assessment as part of the hiring process. The assessment is designed to identify candidates whose skills most closely align with the position requirements. Work Performed
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may be expected to have Epic certification/proficiency/badge in any of the modules supported by the team as determined by the manager. Bachelor degree, preferably in computer science or a clinical field
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of Advancing Health Together. The Duke Multi-Dimensional Imaging Lab offers post-processing services for any Computed Tomography (CT) or Magnetic Resonance Imaging (MRI) angiographic study scanned at our
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images for optimal quality. Match with appropriate paperwork for interpretation. Charge radiographic procedures in; able to modify orders per protocol. Demonstrate acceptable film quality standards by
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. Accurately process images for optimal quality. Match with appropriate paperwork for interpretation. Charge radiographic procedures in; able to modify orders per protocol. Demonstrate acceptable film quality
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/bioinformatics, and data science. Work Performed · Work in highly collaborative inter-disciplinary environment with clinicians, econometricians, statisticians, and data scientists · Lead statistical analysis
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General Description of the Job Class Directly supervises sterile processing personnel during specified shifts, facilitating staff and departmental efficiencies while monitoring the daily operations
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, an endo-surgery center, and more. General Description of the Job Class Directly supervises sterile processing personnel during specified shifts, facilitating staff and departmental efficiencies while
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, United States of America [map ] Subject Areas: Chemistry / Bioinformatics , Chemical biology , Computational Appl Deadline: 2025/09/15 11:59PM ** Position Description: Apply Position Description Job Opening: Postdoctoral
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) at Duke University is seeking a highly motivated Postdoctoral Fellow to contribute to at least two cutting-edge, interdisciplinary projects at the intersection of climate science, biodiversity, disease