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related to modeling, data analysis, electronics, laser and quantum optics, vibration isolation and control systems is desirable. Most importantly, candidates should be broadly trained scientists, willing
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Investigator (PI), including data collection, analysis, and documentation. Assists the PI in ongoing experiments related to DNA damage repair and cancer research, ensuring tasks are completed in a timely manner
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 1 month ago
bulk LWIR materials, and further work is needed to fully exploit this approach for high QE and low noise in large LWIR arrays. Significant enhancement is also possible in the design and fabrication
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refrigerators. Data analysis and interpretation of hybrid semiconductor-superconductor systems. Design and implementation of hybrid microwave amplifiers. Nanoscale device and circuit fabrication. Teaching in
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analysis. The Postdoctoral Associate will work with behaving mice and develop experimental and analytical approaches to understand circuit-level mechanisms of cognition. Among the key duties of this position
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researcher will be responsible for the design, analysis, interpretation, and presentation of experiments regarding the study of the pathophysiology of epilepsy or seizure disorders using murine models and
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to staff position within a Research Infrastructure? No Offer Description Accurate analysis and interpretation of meteorological data obtained through radar are fundamental for weather forecasting and
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analysis and interpretation of meteorological data obtained through radar are fundamental for weather forecasting and monitoring severe weather events. Radar images, especially those of the PPI (Plan
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Investigator, the Postdoctoral Associate(s) will be responsible for the performance and analysis of experiments focused on development and function of novel immune cells. Our research focuses on development and
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of vibrational spectroscopy and spectral pre-processing techniques. Proficiency in programming and deep learning frameworks. Experience with 1D-CNNs, transformers, or chemometrics for spectral analysis is highly