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detection. Familiarity with real-time applications of AI/ML in embedded or IoT devices. Knowledge of cloud-based computing platforms for data processing (e.g., AWS, Google Cloud). Understanding of BMS
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Polytechnic University aspires to leave its mark nationally, continentally, and globally. The School of Computer and Communication Sciences at Mohammed VI Polytechnic University (UM6P), Benguerir, Morocco is
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. Fluent in French and English. Experience working as a member of a multidisciplinary team. Ability to write publications, reports, and projects. Oral and written communication skills. Computer skills
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sciences, or related fields Strong background in hydrology and remote sensing techniques. Proficiency in computer programming tools such as Matlab and/or Python. Knowledge of statistics and mathematical
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Fellow position in innovative prosthesis production. The successful candidate will work with a dynamic team of researchers to develop and optimize novel techniques for the production of prosthetic devices
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electrode and electrolyte properties for electrochemical devices. The LIMSET is engaged in pioneering research and development projects to promote the invention and improvement of all-solid-state technologies
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the use of artificial intelligence to design new materials will be appreciated, particularly in the context of optimizing electrode and electrolyte properties for electrochemical devices. The LIMSET is
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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
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data. Knowledge of computer-aided synthesis planning (CASP) tools and retrosynthetic analysis software (e.g., AiZynthFinder, ASKCOS, IBM RXN). Familiarity with reaction condition prediction and reaction
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processes, or energy management. Preferred Skills: Experience with time-series analysis, predictive modeling, and anomaly detection. Familiarity with real-time applications of AI/ML in embedded or IoT devices