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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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systems, specifically air-sea interactions in the ocean. The primary objective is to develop a consistent and well-calibrated mixed-layer-wave parameterization to capture turbulent kinetic energy (TKE) and
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analysis. Methods and algorithms including visualisation and reporting tools. Geotechnical, structural and mechanical characterisation of rock from drilling signals. Calibration and interpretation on rock
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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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, French Guiana. - Geophysical data analyses to provide conductivity 3D maps and 2D profiles - Calibration of petrophysical relationships using data from in situ water content probes on the one hand, and
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structural elucidation, and (iii) synthetic chemistry and biocatalysis for the preparation and evaluation of antibody-drug conjugates (ADCs) as the next generation anticancer therapies by site-specific
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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