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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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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | about 4 hours ago
models to approximate posterior parameter distributions and guide efficient exploration of inversion problems. Beyond workflow acceleration, we envision constructing an ISSM-specialized geospatial
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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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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 26 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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Experience developing pipelines and code for gravitational-wave searches and/or parameter estimation Knowledge of advanced Bayesian methods and samplers, machine learning approaches to signal processing
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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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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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first-principles multiphase flow descriptions with data-driven components Formulate and implement parameter estimation and system identification methods for multiphase flow models Integrate experimental
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astrophysics that can directly take raw, high-dimensional data from experiments or observatories and rapidly infer theory parameters, such as Higgs boson properties at the Large Hadron Collider or neutron star
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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