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University of California San Francisco | San Francisco, California | United States | about 1 month ago
-processing systems. Collaborates with UCSF Clinical Systems in developing patient-centric imaging solutions and procedures. Manages Service Delivery to all Imaging IT customers. Supports small project
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learning algorithms to support research in IDMxS. Key Responsibilites: Apply/ improve/ develop machine learning algorithms to process (e.g., classify, predict) data/ images collected by IDMxS. Help supervise
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in the future without them changing during observation. This project will use extensive mathematical processing of large sparse datasets, both simulated and experimental, to reconstruct image details
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. Complete all studies in a timely and efficient manner and produce film images utilizing Digital Radiography, image processors and process as prescribed standards. You will be required to rotate to all
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Job Description University of Maryland, Baltimore is seeking a PET Technologist (MRI Technologist) to support clinical and research PET imaging operations, including an integrated PET/MRI program
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, Bioinformatics, Physics, or a related field. A strong background in image processing and image data analysis. English proficiency Preferred PhD in Biology, Bioengineering, Computer Science, Bioinformatics, or a
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protocols using aerial and ground-based platforms for agricultural safety monitoring. Apply advanced image analysis and computer vision techniques to identify and classify food safety risks in agricultural
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Job Description Required Qualification: (as evidenced by an attached resume) * Doctoral degree (or foreign equivalent) in optical imaging, biomedical engineering, microbiology, multi-omics, or a closely
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SOPs, QA/QC processes, and rigor/reproducibility frameworks consistent with CCSG expectations. · Implement harmonized imaging protocols to support longitudinal tumor studies and collaborative
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imaging analysis techniques in biological systems, including cell and tissue samples. • Familiarity with conventional and machine learning based image processing approaches. • In-depth knowledge