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interdisciplinary team focused on developing innovative numerical algorithms and software to address emerging challenges in scientific computing and machine learning. The research will emphasize both theoretical
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, including but not limited to algorithms, databases, cloud computing, machine learning, operating systems and security. Jobs Summary: UM6P invites applications for post-doc, in all areas of Computer Systems. A
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of mining processes, mathematical modeling of flows and extraction decisions, and the use of machine learning algorithms to predict ore quality and optimize operational decisions. 2. Key Responsibilities
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conditions. Implementing a multimodal approach for large-scale data analysis using CPU and GPU Solutions at the UM6P Data Center. Innovate and improve image analysis algorithms for plant trait quantification
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(UM6P) invites applications for a postdoctoral fellow position combining skills at the interface between chemistry and chemical engineering under the direction of Prof Youssef Belmabkhout. The successful
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publish results. Excellent written and verbal communication skills. Strong organizational and time management skills, with the ability to prioritize multiple tasks effectively. Ability to work well both
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at least one of the following areas: Multiple access techniques, interference management, energy efficiency, resource allocation, security against intrusive devices. Employment terms: The successful
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. Proficiency in programming MATLAB and Python for data analysis and algorithm development. Knowledge of data assimilation techniques is a valuable added. Excellent communication skills and ability to work
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collaborative relationships Excellent verbal and written skills in English Organizational dexterity and ability to prioritize and manage multiple goals Positive attitude in changing fast-paced environments Active
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. The successful candidate will join the group of Prof. Youssef Iraqi. Context Wireless sensor networks (WSNs) and Internet-of-Things (IoT) are among the leading enabling technologies for smart systems