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be expected to join an interdisciplinary team to work on projects focused on biomass valorization, green chemistry, metabolomics, formulation chemistry, and biological activities of desert natural
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transformer-based architectures to create a powerful tool for understanding and predicting bacterial genomic sequences. The successful candidate will play a key role in developing and optimizing these models
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, and optimization of inorganic materials for various sustainable energy processes. We work diligently to contribute to the competitiveness of Moroccan and African companies by conducting research across
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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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innovative comminution strategies. The successful candidate will play a leading role in advancing research on autogenous grinding as a low-energy alternative for liberating indurated phosphates stored in
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surfaces using surface chemistry and interfacial analysis techniques. Contribute to the optimization of flotation process parameters based on experimental results. Work closely with a multidisciplinary team
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developing methods/tools that use multi-source remotely sensed data. The research aims to improve our understanding of the integrated functioning of continental surfaces and their interaction with climate and
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in programming (Python, Julia) (provide evidence with specific examples). Experience with statistical modelling and experimental design. Ability to work in a multidisciplinary team. Strong written and
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, the next step in this project is to address sparse optimization for tensors. We propose the integration of randomized algorithms into sparse optimization frameworks for the purpose of completing
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Marrakech. Job Description: The CBS department at UM6P is seeking a highly motivated candidate with strong expertise and a keen interest in developing functional materials. This includes graphitic based