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membrane separation technologies. Applications must be submitted online in a single electronic zipped folder with the mention of the job title ("Postdotoral fellow in Chemistry and Chemical Engineering" The
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publications, reports and projects. Oral and written communication skills. Computer skills/programming/modeling would be a plus. Candidate Criteria Ph.D. in Chemical engineering or a related field. Extensive
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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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efficiency. Investigate parallel algorithms and architectures that can exploit the inherent parallelism in tensor operations. Collaboration: Collaborate with interdisciplinary teams including computer
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procedure: Applications must be sent using a single electronic zipped folder with the mention of the job title in the mails subject. The folder must contain: Cover letter indicating the position applied
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to the selection criteria above (4) names, addresses, phone numbers, and email addresses of at least two references.
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and real-time data acquisition systems. Participate in testing and deployment of UAV demonstrators at UM6P and OCP sites. Methodology: AI Development: Reinforcement learning, computer vision, and sensor
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methodologies. Proven proficiency in thermodynamic modeling using FactSage, CALPHAD, and complementary simulation platforms like Aspen Plus. In-depth knowledge of electron microscopy, spectroscopy, and structural
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of material properties, electronic structure, and atomic-scale behavior, particularly in the context of all-solid-state batteries. Showcase the ability to conduct independent research while demonstrating
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: Collaborate with interdisciplinary teams including computer scientists, statisticians, and domain experts to apply tensor completion techniques to real-world applications, especially in the case of social