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Field
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. The successful candidate will be joining the Ultracold Quantum Gases group led by Prof. Dr. Leticia Tarruell. The interplay of interactions and gauge fields is responsible for some of the most intriguing phenomena
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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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applicant will be expected to Conduct wideband radio propagation measurements in typical indoor and outdoor environments and analyse the data using Matlab code to estimate the appropriate channel parameters
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water quality parameters and predict cyanobacteria blooms in the Tietê system reservoirs. Activities: 1. Develop machine learning models for estimating water quality parameters via remote sensing; 2
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of the parameter space in relation to the statistical model. One of the main goals of SLT is to quantify the complexity of such models w.r.t. the data generating process (and some prior probability distribution
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exploiting the broadband guidance handling capabilities of modern hollow fibers filled with gases. Such light source will allow exquisite control of key light parameters such as pulse durations, emission
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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | about 2 hours 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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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 17 hours ago
Dependent on Experience/Qualifications Proposed Start Date Estimated Duration of Appointment 12 Months Position Information Be a Tar Heel! A global higher education leader in innovative teaching, research and
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that combine first-principles multiphase flow descriptions with data-driven components Formulate and implement parameter estimation and system identification methods for multiphase flow models Integrate
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first-principles multiphase flow descriptions with data-driven components Formulate and implement parameter estimation and system identification methods for multiphase flow models Integrate experimental