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Field
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: Lab environment. Moderate noise. Exposure to blood, excrement, antineoplastic drugs and possible exposure to infectious and communicable diseases. Universal precautions are mandatory. Exposure
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using NMR spectroscopy, elemental analysis, and vibrational spectroscopy Bottom-up nanomaterials synthesis from inorganic and organometallic precursors in ionic liquids/deep eutectic solvents, employing
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University of British Columbia | Northern British Columbia Fort Nelson, British Columbia | Canada | about 1 month ago
developed at UBC. Collaborate with UBC researchers on packaging of the microwave-, optical- and microwave-optical devices for cryogenic measurements [5,6] Low-noise cryogenic optical, microwave, and microwave
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for joint Differential Interferometry and Reverberation Mapping measures of SMBH masses and distance measures. Image reconstruction and model fitting assumes correct observation noise models. A small fraction
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demonstrations of novel methods for temporal and spatial field manipulation and characterization, approaching quantum noise levels. The methods and associated components will have applications in the measurement
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on designing and building and testing quantum noise reduction schemes for future gravitational wave detectors. Experience in one or more of the following areas is desired: optics, electronics, quantum optics
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University of Maryland, Baltimore County | Southern Md Facility, Maryland | United States | about 1 month ago
, ion trap based computers have a high degree of controllability and are only weakly susceptible to noise, yet with only tens of qubits they are comparatively small. Superconducting technologies have
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results at national and international conferences and other technical meetings, and delivering programmatic milestones. Major Duties/Responsibilities: Characterize vibrational spectra from equipment
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, Biophysics, Physics, Chemistry, or another field relevant to the beamline Knowledge and experience of various optical spectroscopy techniques (e.g. UV/vis, vibrational spectroscopy, fluorescence) Ability
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analysed by bespoke machine-learning driven algorithms, combined with physical models, to de-noise images, identify features and correlate properties, giving critical insights into power loss pathways