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developing cryogenic testbeds for the superconducting TES detectors and the SQUID-based microwave multiplexed readout, implementation of robust quality control procedures, documentation and publication
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laboratory techniques is required. Microwave experience is a big plus. Microfabrication experience is desirable. Field of Science: Technology Development Advisors: Boris Karasik Boris.S.Karasik@jpl.nasa.gov
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high nutritional value: New dielectric pre-cooking techniques (radio frequencies and microwaves) for producing high-quality IQF chicken products" published in the official gazzette BORM Número 62 Lunes
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: Experience in microwave measurements Experience in Artificial Intelligence and Machine Learning methods for microwave circuit design Experience in digital signal processing What you will do Take courses
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, input powers, dimensions, materials, and electrode geometries enabling optimization of electron density and plasma frequency. Integration of a microwave interferometric system into the measurement bench
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systems. These may include, but are not limited to, modelling quantum processors or components for quantum photonics in the optical or microwave domain. The theoretical foundations encompass Maxwell’s field
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 5 hours ago
scholar to conduct in-depth analysis of stratospheric data, using data from the Microwave Limb Sounder (MLS) as well as complementary datasets like the Atmospheric Chemistry Experiment Fourier Transform
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) spectroscopy, microwave measurements of spin dynamics, magneto-optical methods, and nanoscale device characterization). Co-development of software solutions for automated experiments and data analysis
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National Aeronautics and Space Administration (NASA) | Hampton, Virginia | United States | about 18 hours ago
, complementing data from the Microwave Limb Sounder on Aura and the Atmospheric Chemistry Experiment Fourier Transform Spectrometer on SCISAT-1, and potentially the only climate-quality space-based SWV
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IMAGINE infrastructure is designed to explore the likelihood space of magnetic field models while including constraints from all existing tracers such as radio synchrotron emission, polarized microwave dust