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Field
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Acoustics (LMFA, CNRS, Ecole Centrale de Lyon) is seeking a highly qualified candidate for a post-doctoral research fellowship regarding the dynamic calibration of turbulence models. Description
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implementing innovative water accounting approaches on both the supply and demand sides. Main Mission: To develop, calibrate, and validate hydrological models (SWAT, MODFLOW) for two watersheds in Morocco in
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of isotopes, ecohydrology, and modeling mainly in the continuum water-soil-plant-atmosphere. Key Responsibilities: Develop and calibrate isotopic tracers to understand water sources, transport processes, and
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spectroradiometers. Lead efforts to validate and calibrate hyperspectral data for soil fertility mapping and crop nutrient management assessments. Contribute to the development of spectral libraries and hyperspectral
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calibrate isotopic tracers to understand water sources, transport processes, and ecosystem interactions. Integrate isotopic data with ecohydrological models to assess the resilience of Moroccan water systems
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will analyse quantitative imaging data from a variety of sources, including Spatial Transcriptomics and Multiplex Immunofluorescence platforms, for validation and calibration of mathematical models. You
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emulators to make projections of the ice sheet and glacier contributions to global mean sea level to 2300, calibrate these projections with observational data, and compare the results with those from other
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. Participation in the EPIC experiment at the Electron Ion Collider is also possible. Active participation in the Zero Degree Calorimeter detector calibration will also be possible. Some simulation studies
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, including Spatial Transcriptomics and Multiplex Immunofluorescence platforms, for validation and calibration of mathematical models. You will also develop skills in mathematical modelling and spatial analysis
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underwater frames and instrumentation, including sensor testing and calibration Quantifying benthic biogeochemical fluxes and momentum fluxes in situ from high-density datasets (e.g. using eddy covariance