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a multidisciplinary team. Preferred qualifications: Experience in grinding technology. Familiarity with process simulation software (e.g., USIMPAC, MODSIM, METSIM). Prior collaboration with industrial
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of research and education, covering all aspects of computer science, including artificial intelligence, machine learning, data sciences, algorithms, databases, cloud computing, software engineering, networking
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, including artificial intelligence, machine learning, data sciences, algorithms, databases, cloud computing, software engineering, networking, operating systems and security. Job Description The successful
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proposals and presentations. Requirements: Specify the required qualifications and experience for the position. This might include A PhD in a relevant field such as mechanical engineering, materials science
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Environmental Science (CAES) is a component of the Science & Technology pole of Mohammed VI Polytechnic University (UM6P). It constitutes a structure of higher education and practical-based research with a vision
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practical-based research with a vision of solving real Local, Regional, and African agriculture challenges leveraging up-to-date science and technology. Oriented towards Africa, ASARI acts in connection with
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attracted multidisciplinary research teams composed of food engineers, agronomists, biochemists, biologists, … etc. Description of the position: Develop and improve the best cropping practices under marginal