86 multiple-sequence-alignment positions at MOHAMMED VI POLYTECHNIC UNIVERSITY in Morocco
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research interests and how they align with the application of LLMs to predictive maintenance. A current CV, including a list of publications. Contact information for at least three references. A brief
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, and systems they explore ensuring that solutions are not only technically sound but also socially just, inclusive, and aligned with long-term societal goals. Key Responsibilities: Guide student projects
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multiple tasks and projects efficiently. Strong commitment to high-quality research and ethical standards. Application and Selection Application folder must contain: Detailed CV. Motivation letter
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submit the following documents: A cover letter detailing your research interests and how they align with the application of LLMs to predictive maintenance. A current CV, including a list of publications
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affect human health, particularly regarding colorectal cancer (CRC). Key Responsibilities: Perform shotgun metagenomics and whole-genome sequencing (WGS) on microbial samples from various environments
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, and aligned with long-term societal goals. Key Responsibilities: Guide student projects by embedding ethical reflection, policy implications, and stakeholder perspectives into their analyses. Develop
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of research results. Exceptional organizational abilities to manage multiple tasks and projects efficiently. Strong commitment to high-quality research and ethical standards. Application and Selection
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include, but are not limited to: Design and lead research projects aligned with the department’s priorities. Support application for external funding and project proposal development Use technical expertise
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-genome sequencing experiment of the selected strains. Conduct taxonomy characterization and analysis of selected isolates. Conduct Bioinformatics analysis related to the generated data. Co-supervise master
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sequencing (NGS) and omics data analysis. Knowledge of microbial ecology, dysbiosis, and host-microbiome interactions. Familiarity with cell culture techniques. R, Python, or other data science tools