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                Field
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                of image sensor technology through advanced pixel design Your key responsibilities include: Researching novel application-specific pixel architectures Developing hardware for characterization and application 
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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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                engineeringEducation LevelPhD or equivalent Skills/Qualifications Educational background: PhD in Biomedical engineering, Optical Imaging/Physics, Biophotonics, Medical Imaging or AI, Image Guided Intervention or a 
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                28 Oct 2025 Job Information Organisation/Company CNRS Department XLIM Research Field Engineering Physics Technology Researcher Profile Recognised Researcher (R2) Country France Application Deadline 
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                University of Southern California (USC) | Los Angeles, California | United States | about 4 hours agoresearch. 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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                property analysis, sorting, and grading. Contribute to the TIMBERHAUS project by applying advanced image processing and AI methods for timber quality assessment. Integrate experimental data with 
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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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                Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | 5 days agoresearch lab consists of more than 20 researchers, faculty members, PhD students, engineers and interns, working in the field of image processing and neuroimaging. The team targets the detection and 
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                programming for workflow automation and data handling Familiarity with high-content imaging and quantitative analysis is a plus Interest in interdisciplinary approaches at the interface of biology, technology 
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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