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to patients, following procedure protocols, injecting radioactive isotopes, acquiring images, processing images, and reviewing images for accuracy. The position will require occasional weekend coverage. Student
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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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following established protocols, while ensuring patient safety, comfort, and confidentiality. Review patient histories and MRI safety questionnaires to confirm procedure suitability and compliance with HIPAA
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16 Mar 2026 Job Information Organisation/Company Metamind Innovations P.C. Department R&D Research Field Computer science » Computer systems Engineering » Computer engineering Technology » Computer
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following established protocols, while ensuring patient safety, comfort, and confidentiality. Review patient histories and MRI safety questionnaires to confirm procedure suitability and compliance with HIPAA
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various experiments taking place in the laboratory, including: - Optimize and perform in vivo and ex vivo imaging experiments - Optimize and perform behavioral experiments - Maintain animal colony - Rodent
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California State University, Los Angeles | Los Angeles, California | United States | about 11 hours ago
for the rights and sensibilities of each individual. The Department/Division School: The Department of Civil Engineering (https://www.calstatela.edu/ecst/ce) is in the College of Engineering, Computer Science, and
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practical skills in the field of data science, especially. multimodal data analysis. Experience on image processing (especially on MRI data) via machine learning. Programming skills (e.g., Python
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and/or cleared tissue preparation and imaging. Skills in optical engineering and instrument building are highly desirable. This project requires the optimisation of both hardware and wetware and so
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to explore include mono-chromatic and multi-chromatic illumination, structured illumination, and telecentric illumination distortions. Computer based image analysis approaches will be developed, including