17 algorithm-development-"LIST"-"Meta" positions at MOHAMMED VI POLYTECHNIC UNIVERSITY
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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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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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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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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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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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, algorithms, and society Where to apply Website https://www.timeshighereducation.com/unijobs/listing/399598/vanguard-sase-resea… Requirements Additional Information STATUS: EXPIRED X (formerly Twitter) Facebook
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, analyze, and optimize new algorithms and system architectures for secure communication. Bridge theory and practice by developing simulation frameworks and/or contributing to experimental testbeds. Publish
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of teaching and research in fields related to the sustainable economic development of Morocco and Africa. UM6P is an institution oriented towards applied research and innovation. On a specific focus on Africa
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to join our cutting-edge team, working on the development of advanced AI/ML algorithms for battery management systems (BMS) in electric mobility and micro mobility applications. The primary focus will be
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of the extraction and beneficiation system. This work will require an understanding of mining processes, mathematical modeling of flows and extraction decisions, and the use of machine learning algorithms to predict