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Field
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using X-ray and neutron diffraction Investigation of ionic transport by impedance spectroscopy and complementary electrochemical methods Determination of electronic, vibrational and vibronic structure
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robotics. Job description How do you equip an entire robot with thousands of tactile sensors without creating excessive wiring, latency and sensitivity to electromagnetic interference and power-supply noise
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 6 days ago
photodetector device characterization (quantum efficiency, dark current, noise, spectral response, etc.) is also essential. A key aspect of the role will be the ability to interpret device performance data and
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Inria, the French national research institute for the digital sciences | Rennes, Bretagne | France | about 2 months ago
studies in developing flow models that incorporate noise to account for modelling uncertainties or errors. The introduction of noise into ocean dynamics models must be done on a theoretically rigorous
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/ Lab environment. Moderate noise and foot traffic. Special Conditions Posting Details Posting Number 26ST1724 Posting Open Date Special Instructions to Applicants Regional Campus Rutgers Biomedical and
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independently. Preferred Qualifications Equipment Utilized Physical Demands and Work Environment PHYSICAL DEMANDS: No significant physical demands. WORK ENVIRONMENT: No significant exposures or noise levels
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colloidal nanocrystal synthesis or optoelectronic device physics. Experience in III–V CQDs, infrared photodetectors, surface spectroscopy, thin-film processing, or low-noise optoelectronic measurements is
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/or other sounds Clarity of vision at approximately 20 inches or less Environmental Hazards Exposure to fumes and airborne particles Exposure to moving mechanical parts or vibration Potential exposure
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/Animal Care Facility/Office environment. Moderate noise. Posting Number: 26ST1116 Create a Job Match for Similar Jobs About Rutgers University Rutgers, The State University of New Jersey, is a leading
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and impactful sensing problem: developing machine learning approaches for turning the vibration signals of mining machines into precise, bucket-by-bucket estimates of how finely rock has been fragmented