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advanced image processing and segmentation methods – computational and statistical analysis of large-scale neuronal activity datasets • Very good programming skills in Python (mandatory). • Teaching
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Computer Engineering. Expertise in computer vision algorithms and image processing techniques (such as object detection, segmentation, and feature extraction). Proficiency in deep learning frameworks such as
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Bioinformatics / Science Cognitive Science Quantum Machine Learning Computational Science and Engineering / Natural Language Processing Artificial Intelligence / Intelligent Systems and Applications Data
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University of California, San Francisco | San Francisco, California | United States | about 2 months ago
and processes images on various archival systems. Professionally accountable for submitting high-quality images to PACS. Participates in performance improvement activities in the department
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management, while supporting FDA approved and clinical research procedures Reviews all documentation and properly processes all Radiologic Interventional images for accuracy and prepares/sends images
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will close at 12:01 a.m. CT on the specified Closing Date (if designated). If you close the browser or exit your application prior to submitting, the application process will be saved as a draft. You
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image processing, control systems, machin e learning, electromagnetics, remote sensing, microwaves, optics and photonics, nanotechnology and electronic materials, robotics, intelligent transportation
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prototype electronics from a laboratory setting to an operational facility and/or to transferring technology from prototype design to commercial companies. Experience with process automation, in-process
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London’s School of Biomedical Engineering & Imaging Sciences (BMEIS) and the Royal Brompton Hospital’s Imaging Department in Chelsea. The School of BMEIS (https://www.kcl.ac.uk/bmeis ) is committed
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utilization data and develop recommendations for future technology, space, or resource planning. Experience maintaining shared computer lab environments, standardized software images, or centralized software