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using Matlab code to estimate the appropriate channel parameters in various wave bands for the design of radio systems. Collect the data and analyse it and relate it to weather data for prediction models
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minimal, hardened, and high-performance BSPs. Optimize data pipelines sourcing from CAN, Ethernet, GMSL2, MIPI, I2C, SPI, and UART. Calibrate and tune ISP parameters to optimize image quality for computer
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 22 days ago
improve estimation of rates of snow accumulation, snowmelt, ice melt, and sublimation from snow and ice worldwide at scales driven by topographic variability. We seek projects focusing on the use of machine
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: Cryogenic and Fluid Systems Operation (70%) Operate the control console for the NSTX-U cryogenic plant, maintaining the system within standard operating parameters, and initiating alarm response procedures
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20 Feb 2026 Job Information Organisation/Company Université de Pau et des Pays de l'Adour Department SIAME Research Field Engineering » Computer engineering Physics » Computational physics
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about equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience No experience required. Required License/Registration/Certification Have one or more of the
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equivalencies: https://hr.uky.edu/employment/working-uk/equivalencies Required Related Experience No experience required. Required License/Registration/Certification Have one or more of the following: 1. Kentucky
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his/her Workday account, which may be accessed here: http://workday.cornell.edu/ . Please contact Jane Pearson, Association HR Coordinator at 315-788-8450 with questions. POSITION DETAILS: This position
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, please visit: https://qbm.genzentrum.lmu.de/application/ Tuition fees per semester in EUR None Combined Master's degree / PhD programme No Joint degree / double degree programme No Description/content
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biology. Please include a cover letter with your application detailing your qualifications and experience for this position. Describe a deep learning project you have executed. Projects in computer vision