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Qualifications: Subspeciality fellowship training Experience working and collaborating with multiple clinical specialties Knowledge, Skills and Abilities: Interpretation of radiology imaging studies and procedures
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Lawrence Berkeley National Laboratory has multiple openings for a Scientific Engineering Associate in Berkeley, CA. Duties: Perform scientific data analysis using the scientific python stack
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. Start I.V.s, administer contrast media as directed and per protocol. Evaluate MR scans for technical quality, collate processed images and sequence of acquisition and label appropriately. Schedule
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protocol. Evaluate MR scans for technical quality, collate processed images and sequence of exposure and label appropriately. Coordinate scheduling and patient flow involving multiple MR sites. Assist with
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spatial omics datasets. The position will also contribute to multi-modal data integration efforts that combine imaging, genomics, and machine learning approaches. Key Responsibilities Data Processing
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join a faculty of more than 80 clinical radiologists who are involved in imaging at multiple facilities, including Jackson Memorial Hospital (a primary, tertiary, and quaternary care County hospital) and
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. Preferred Qualifications Expertise in computational data analysis and familiarity with software platforms for image and electrophysiological data processing. Knowledge of bioinformatics, AI-driven phenotyping
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Qualifications* PhD Degree in Engineering, Computer Science, Data Science, Applied Mathematics, Statistics, or a related field Familiarity with (biomedical) signal processing Experience working with clinical data
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imaging research experience with a background in applying advanced techniques and methodologies. Basic computer vision and image processing techniques with experience in real-world applications is preferred.
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implementing desktop solutions. Provides advanced functional administrator support and guidance to Support Services staff over various campus desktop systems. Creates and updates the computer images, manage