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optical imaging tools for high-resolution, 3D whole-body imaging of (living) mesoscopic samples. By making these technologies more accessible, the project seeks to broaden research capabilities and foster
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of the scientific community. In addition, you have: A completed PhD degree with expertise in computational sciences, life sciences, or a related discipline, ideally with a strong foundation in optics and bioimaging
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collaboratively with researchers and engineers to develop prototype solutions and human-in-the-loop evaluation frameworks. Conduct user studies and analyse results (e.g. eye-tracking, physiological sensing
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Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | about 19 hours ago
systems integration, real-time imaging technologies, and performance validation protocols. Participants will learn optical and x-ray system calibration, mixed-reality hardware integration, and evaluation
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laboratory operations. Job Requirements: Must have a Ph.D. or Doctorate in Physics, Optical/Photonic Engineering, Information Science or closely related disciplines Applicants must have relevant research
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(e.g., laser scanning, optical satellite imagery, radar, UAV, or aerial imaging). Strong programming and data analysis skills (e.g., Python and/or R), as well as proficiency in GIS software and
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-based quantum imaging will be a strong secondary advantage, particularly for translating fabricated diamond devices towards sensing and imaging novel materials. The successful candidate will play a key
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. The successful candidate will lead efforts to develop novel electrical readout, control, and sensing architectures that complement or potentially replace conventional optical detection methods. The research will
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outside academia. The tasks include extensive use of optical diagnostics, such as: Near and far field high-speed microscopic imaging Chemiluminescence-based techniques Schlieren imaging and shadowgraphy
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community. You may develop projects in fields including • Data and computational science: Bioinformatics, AI/ML, computational modelling, software engineering, data management, data science. • Imaging and