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Qualifications One (1) years of related experience. Experience using digital SLR cameras and professional photography equipment to produce digital images. Experience using Adobe Photoshop to process, optimize, and
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federated learning platforms. Knowledge of explainable AI (XAI), uncertainty estimation, and clinical validation of models. Prior scientific publications in AI, medical imaging, or digital health. Ability
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interdisciplinary teams. Familiarity with large-scale multimodal datasets, computational imaging, digital twins, autonomous inspection, or AI-enabled experimental systems is highly desirable. Demonstrated potential
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events as assigned. Work in post to prepare digital files for reproductions, and import collection of images into Digital Asset Management System (DAM). Document campus life, events, and cover assignments
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detection and applications in quantum communications and single-photon imaging. With single-photon avalanche diode (SPAD) detectors, we initiated and led collaborations to produce the first custom-designed
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media preparation, data analyses associated with RNA sequencing and image processing for emission microscope samples. (20%) Supervise and train undergraduate students conducting research on the associated
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cardiac arrhythmia and remains challenging to treat effectively, with many patients experiencing recurrence after catheter ablation. One reason for this is the difficulty of identifying the specific
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intraoral and extraoral digital images. Responsibilities include reviewing imaging requests, verifying patient identity, preparing patients for imaging procedures, evaluating image quality for diagnostic
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Find Jobs report which will take you to our internal career listings. Applying outside of your employee Workday account may cause delays in a hire process. Department: School of Communication Time Type
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, process analytics, and digital twin methodologies as enabling technologies within biotherapeutics manufacturing science and Chemistry, Manufacturing, and Controls (CMC). These approaches can support process