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) ranking candidate resection/ablation targets and 4) estimating the probability of patient response to neuromodulation and the corresponding parameter ranges. KEY SELECTION CRITERIA The applicant will be
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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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National Aeronautics and Space Administration (NASA) | Fields Landing, California | United States | 2 months 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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Application deadline: 30.04.2026 Estimated date of the contest settlement: May 2026 Envisaged job starting date: tbd Period of employment: 24 months The competition is open to each candidate who meets
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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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optimising membrane parameters. Laboratory experience in analytical techniques related to materials characterization and membrane processes application. Knowledge in environmental sampling and the impact of
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tap density and material quality. Develop an advanced optimization and sensitivity analysis framework for accurate parameter estimation. Produce research publications in high-impact journals and
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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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on reinforcement learning to optimize cooling and trapping parameters using real-time feedback for the Rydberg atom experimental platform. Enhance holographic methods for optical tweezers with generative models and