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Field
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Electrical Engineering, Biomedical Engineering, Chemical Engineering, Optical Sciences or related field At least three publications in biomedical imaging, advanced signal processing, and/or nanotechnology
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. - Work with partners on components, and with the lunar science team on requirements. - Support the engineering development team to advance prototype toward flight-readiness. - Document designs; publish
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artificial intelligence with a preferred focus on computer vision and medical image analysis. Preferred Qualifications: PhD in Medical Physics, Bioengineering, Biomedical Engineering, Physics, Computer Science
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artificial intelligence with a preferred focus on computer vision and medical image analysis. Preferred Qualifications: PhD in Medical Physics, Bioengineering, Biomedical Engineering, Physics, Computer Science
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and translational research. Key Responsibilities Conduct independent and collaborative research in neurorehabilitation and brain-computer interface technology Design, implement, and analyze neuroimaging
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University of Southern California (USC) | Los Angeles, California | United States | about 23 hours ago
research. Key Responsibilities Conduct independent and collaborative research in neurorehabilitation and brain-computer interface technology Design, implement, and analyze neuroimaging and behavioral
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optimization of optical imaging hardware, develop data acquisition software and algorithms for data processing, as well as perform phantom and human clinical studies. This candidate is expected to co-supervise
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University. The ideal candidate will have a strong background in engineering—biomedical, electrical, or mechanical—with expertise in optics, imaging systems, or device development. Our research focuses
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studies (e.g., EELS, EDS) to probe defect structures and dynamics Apply advanced image processing and analysis; develop AI/ML workflows for quantitative defect characterization Implement high-throughput and
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the supervision of Dr. Merry Mani. The successful candidate will work on the development, validation, and translation of cutting-edge MRI techniques for imaging slow-flowing neurofluids and brain microstructure in