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data for model calibration and validation. Apply sensitivity analysis and optimization algorithms to refine model parameters and improve predictive accuracy. Contribute to code development, documentation
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using simulation-based parametric studies. Couple computational results with experimental data for model calibration and validation. Apply sensitivity analysis and optimization algorithms to refine model
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Solutions at the UM6P Data Center. Innovate and improve image analysis algorithms for plant trait quantification. Collaborate with international research teams and contribute to joint publications and
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sensors, actuators, control algorithms, and embedded systems. Guide the development and deployment of digital twins for real-world processes and infrastructures (e.g., factories, greenhouses, robotics
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Governance, diplomacy, and strategic foresight Education innovation and learning ecosystems AI, algorithms, and society
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: Statistical model development: Led the development of advanced statistical models and machine learning algorithms for forecasting precipitation and temperature in Morocco. This will involve data analysis, model
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teams in the design and implementation of cyber-physical systems (CPS) integrating sensors, actuators, control algorithms, and embedded systems. Guide the development and deployment of digital twins
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) integrating sensors, actuators, control algorithms, and embedded systems. Guide the development and deployment of digital twins for real-world processes and infrastructures (e.g., factories, greenhouses
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to public services Governance, diplomacy, and strategic foresight Education innovation and learning ecosystems AI, algorithms, and society
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characterization, distribution, diversity, and transmission mechanisms between rhizobia and hostel plants. Main responsibilities: The selected candidate will be expected to: Conduct research as part of the project