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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 8 days ago
sounding (e.g., MARSIS, SHARAD, or analogous terrestrial systems) Familiarity with radio frequency (RF) systems, radio wave propagation, and signal processing techniques Expertise in radio astronomy
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curriculum vitae according to the items in point 6; c) Copies of papers selected by the applicant as being most representative of their curriculum vitae, no more than five; d) Presentation of a single document
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image reconstruction methods, signal processing techniques, and data analysis pipelines for novel X-ray imaging modalities, including ghost imaging, quantum-enhanced imaging, and other correlation-based
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are mixed and detected by a photoreceiver that translates the optical signal into the radiofrequency (RF) domain. As a result, each pair of comb lines produces a signal at a unique RF frequency, allowing a
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analysis. Methods and algorithms including visualisation and reporting tools. Geotechnical, structural and mechanical characterisation of rock from drilling signals. Calibration and interpretation on rock
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GNSS signal, or large glaciers that are important to Greenland’s mass balance, to gain new knowledge of glacier, ice sheet dynamics and the coupling with solid Earth deformation. The postdoc will delve
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develop signal processing algorithms to characterize structural health in microreactors and other advanced nuclear reactor technologies. Metrics for success will include scientific output, disseminating
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perception with a comparative, cross-species (animal – human) component. The selected candidate will establish a non-human primate (NHP) model of scalp EEG signals related to perception, compare it to human
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of the Catalan Aerobiological Network (XAC), Point of Information on Aerobiology (PIA) and Laboratori of Palynological Analysis at the UAB (https://aerobiologia.cat ). Job position requirements (skills/languages
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, telecommunications or related field. Other requirements include Strong background in communication theory, signal processing, and wireless communications, Extensive experience in physical (PHY) layer algorithm design