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industrial conditions. Keywords: Artificial intelligence, autonomy, digital twin, edge computing, UAV systems. Objectives: Support the development of AI and machine learning algorithms for autonomous
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Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically LLMs. The candidate will apply their expertise to advance predictive
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landscapes. Collaborate with multidisciplinary teams to integrate remote sensing data with ground-based observations, physical algorithms, and machine learning models. Participate in field data collection and
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to revolutionize agriculture in Morocco by combining cutting-edge technologies, including crop growth models, remote sensing data, data assimilation, machine learning, and seasonal weather forecasts. As a
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within the Wicked Problems (WiP) learning framework. This role bridges physical systems and their digital counterparts, focusing on the design, simulation, and real-time control of interconnected smart
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machine learning). Experience co-developing tools or interactive content for STEM education. Cross-Domain Application Areas May Include: Resource allocation in energy, health, and logistics Simulation
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projects within the Wicked Problems (WiP) learning framework. This role bridges physical systems and their digital counterparts, focusing on the design, simulation, and real-time control of interconnected
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-based models with machine learning). Experience co-developing tools or interactive content for STEM education. Cross-Domain Application Areas May Include: Resource allocation in energy, health, and
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-driven modeling, simulation and optimization with strong and permanent interactions with experiments. Integrate artificial intelligence (i.e. machine, deep and reinforcement learning…) to optimize
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The School of Computer and Communication Sciences at Mohammed VI Polytechnic University (UM6P), Benguerir, Morocco is currently looking for motivated and talented Postdoctoral researchers in