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-based separation and/or membrane technology. Develop novel adsorbents and/or membranes for gas or liquid storage and separation applications. Characterize adsorption and transport properties using
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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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., Teodoro, P. E., ... & da Silva Junior, C. A. (2023). Nutritional monitoring of boron in Eucalyptus spp. in the Brazilian cerrado by multispectral bands of the MSI sensor (Sentinel-2). Remote Sensing
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splitting, CO2 conversion, water splitting…) Able to monitor the obtained products through different analytical techniques including HPLC, GC-MS, Infrared gas analyzer…etc Familiar with the understanding
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through different analytical techniques including HPLC, GC-MS, Infrared gas analyzer…etc Familiar with the understanding of catalytic reaction mechanism by correlating the structural, textural features
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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
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unstructured data (e.g., maintenance logs, sensor data, technical reports) for predictive insights Collaborate with domain experts to integrate LLM-based solutions into predictive maintenance workflows. Explore
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stress. Responsibilities: Monitoring PV panels: temperature, efficiency, dust accumulation. Using environmental sensors and thermal cameras (UAV/IR). Comparative analysis of PV configurations: with vs
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proficiency in analyzing gas-phase reaction products utilizing gas chromatography and Fourier-transform infrared spectroscopy (FTIR). Additionally, candidates should demonstrate comprehensive expertise in
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for gas or liquid storage and separation applications. Characterize adsorption and transport properties using advanced analytical techniques. Prepare high-impact research papers for publication in leading