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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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Optically Detected Magnetic Resonance (ODMR) and using a diamond with shallow Nitrogen Vacancy centers shall be used to characetrize magnetic properties of these novel materials for the first time. Fellowship
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scientific publications in international peer reviewed journals Applicants preferably should demonstrate extensive research experience in optical imaging setups such as low photon detectors/ timing
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fluidic models to interface with appropriate imaging and analytical methods such as optical microscopy, SEM, real-time AFM, Raman microscopy, nano-FTIR. Use the validated models to study the dynamics
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phase equilibria. Experience with amphiphilic systems out of equilibrium, such as under shear flow, will be an advantage, as will be experience with other characterisation techniques such as optical
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and Education (ORISE) participant, you will engage with a community of scientists, engineers, and researchers investigating, under a basic research program at DEVCOM SC, quantum and nonlinear optics in
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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
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microscopy, image analysis: Development of microscopes, fluidics, and data analysis pipelines used to acquire and quantify high-throughput binding data. Examples of suitable backgrounds: Optical engineering
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following areas: -Biophysical instrumentation development: optical and mechanical design, simulation, development and control -Optical imaging; Single-molecule fluorescence and FRET; Lasers; Pump-probe
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Center for Devices and Radiological Health (CDRH) | Southern Md Facility, Maryland | United States | about 17 hours ago
on the development of optical models, image acquisition software, image processing algorithms, and deep learning algorithms using Zemax, Python, Matlab, LabVIEW, CUDA, and other programming environments. Training