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Field
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relevant to the position. Key Responsibilities: Develop methodologies to detect, characterize, and model seismic, coastal hazards and other environmental signals recorded on dense seismic and fibre-optic
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and voids; maintain cleanroom/tool best practices. Characterize materials and interfaces using optical/profilometry, SEM/TEM, surface chemistry, and electrical IV; translate data into process
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– Modelling of atomic defects in h-BN: Two-dimensional (2D) materials have emerged as a powerful platform for next-generation quantum and nanoelectronic technologies, owing to their exceptional optical
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evaluation Ability to work independently, develop solutions under strict timelines, meticulous and eye for details / excellent organizational and time management skills and have experiences in publishing
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focusing optics and advanced data analysis methods. The work will include the development, implementation, and testing of experimental instrumentation; performing synchrotron experiments; developing scalable
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, interaction design Interpersonal skill (e.g. Ability to work independently / develop solutions under strict timelines, meticulous and eye for details / excellent organizational / time management skills
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techniques, including optical lithography and/or electron-beam lithography. Perform device processing using ICP-RIE and/or ion milling techniques. Analyse structural, electrical, and materials characterisation
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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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Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | about 14 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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development and application of data processing workflows, working closely with existing team members across optical, infrasound and RF sensing to contribute to a genuinely multi-modal picture of atmospheric