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COLCOM: The School of Computer Sciences at Mohammed VI Polytechnic University (UM6P), Benguerir, Morocco, is seeking for a postdoctoral candidate in the area of machine learning for IoT networks
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. Demonstrated expertise in one or more of the following areas: autonomous systems, networked robotics, wireless communications, multi-robot systems, UAVs, trajectory planning, or intelligent control. Strong
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Engineering, Artificial Intelligence, or a closely related discipline. Demonstrated expertise in one or more of the following areas: autonomous systems, networked robotics, wireless communications, multi-robot
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predictive maintenance in chemical plants. Key Responsibilities: Create and implement hybrid AI models that merge machine learning techniques with mechanistic frameworks (like physics-informed neural networks
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models that merge machine learning techniques with mechanistic frameworks (like physics-informed neural networks and grey-box modeling) to enable predictive simulations of chemical and biochemical
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(and in particular potassium) and how their cycles is linked to the ecosystem services. It is coupling experimentation, isotopic measurements and modeling aspects taking advantage of a network of
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(LLMs) to predictive maintenance challenges. Develop and fine-tune LLMs to analyze and interpret unstructured data (e.g., maintenance logs, sensor data, technical reports) for predictive insights
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neural networks, transformers) for cross-omics data representation and feature extraction. Apply multi-view learning, transfer learning, and data fusion techniques to integrate heterogeneous omics datasets
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of UAV demonstrators at UM6P and OCP sites. Methodology: AI Development: Reinforcement learning, computer vision, and sensor fusion for autonomy. Digital Twin & Edge Computing: Implement real-time
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such as air quality monitoring, water leak detection and energy monitoring of electric vehicle batteries. The candidate will need to master sensor technologies, embedded systems, and communication protocols