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conferences and journals. Overview: The successful candidate will join an interdisciplinary team focused on developing innovative numerical algorithms and software to address emerging challenges in scientific
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internationally-oriented higher education institution, which is committed to an educational system based on the highest standards of teaching and research in fields crucial to the sustainable economic development
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analytics. The research assistant will develop real-time flight control algorithms, AI- based data processing, and mission management platforms, contributing to the deployment of smart UAV demonstrators under
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computing, and digital twin technologies for mission autonomy and predictive analytics. The research assistant will develop real-time flight control algorithms, AI- based data processing, and mission
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such as Python, MATLAB, Julia, or C++. Experience developing and applying algorithms for simulation, optimization, or decision analysis. Strong commitment to interdisciplinary education and student
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modeling and numerical optimization techniques. Proficiency with programming languages such as Python, MATLAB, Julia, or C++. Experience developing and applying algorithms for simulation, optimization
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programming languages such as Python, MATLAB, Julia, or C++. Experience developing and applying algorithms for simulation, optimization, or decision analysis. Strong commitment to interdisciplinary education
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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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accurate completion. Algorithm Design: Design and implement algorithms for tensor completion, considering the unique challenges posed by sparse and multidimensional network data. This involves developing
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and innovation at the service of education and development for Morocco and the African continent. It has a state-of-the-art campus at the heart of the Green City of Benguerir, near Marrakesh. UM6P