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and the endoplasmic reticulum. The project will combine approaches in cell biology, biochemistry, and advanced imaging. The candidate will contribute to the development and optimization of experimental
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to improve radar performance - Participate in the selection of electronic systems to be tested - Develop injection methods for the selected systems - Characterize the waveforms used for susceptibility test
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methods for single-cell data analysis (tools developed by the team : https://github.com/cantinilab ). Single-cell high-throughput sequencing, extracting huge amounts molecular data from a cell, is creating
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responsibility of developing predictive tools based on machine learning for the analysis and interpretation of Raman vibrational spectra applied to battery materials. The successful candidate will design and
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? No Offer Description - work environment: The Institut d’Electronique et des Systèmes (IES) is a joint research unit from U. Montpellier and CNRS. The nanoMIR research group (https
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authentic data and the use of artificial intelligence techniques, with the long-term objective of developing automatic recognition and generation systems to animate avatars. The linguistic component, led by
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quantify the evolution of the thermal structure of the Aquitaine Basin's crust and mantle using the geological record. Geophysical data, the subsidence history of sedimentary basins, and thermal-mechanical
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. Generating fortran code for VUMAT for Abaqus Explicit. Developping python codes for microstructure generation Finite elements simulations on a cluster. Parameter study and comparison with experimental results
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), Eq3 (3D liver models), and Eq4 (Germany, redox chemistry, and proteomics). The objectives are to: - Develop a plasma jet to treat pathological liver tissue in situ, and analyze the physicochemical
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dispersion model (PACT-1D) that was recently developed to include state-of-the-art iodine chemistry alongside bromine and chlorine (collaboration : Stutz group, UCLA, see Fritzmann et al. 2023). The model will