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position to join an interdisciplinary research project focused on metaproteomic analysis of soil microbial communities. This project aims to identify key genes and enzymes involved in mitigating salinity
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candidate is expected to: Build and evaluate chemical databases based on experimental and computational data. Establish predictive models based on artificial intelligence methods. Utilize the developed models
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. Participation in academic or industrial publications and reports. Profile of the Research Assistant Candidate & Application Materials: Engineering degree or equivalent in Computer Science, Robotics, or Electrical
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. The candidate will apply their expertise to advance predictive maintenance systems using AI tools. Key Responsibilities: Conduct innovative research on the application of Large Language Models (LLMs
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Computer Science, Machine Learning, Natural Language Processing (NLP), or a related field, with a thesis focused on AI, specifically LLMs. The candidate will apply their expertise to advance predictive
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based on the highest standards of teaching and research in fields related to the sustainable economic development of Morocco and Africa. UM6P is an institution oriented towards applied research and
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Profile: Required qualifications : PhD in Mineral Processing, Hydrometallurgy, Chemical Engineering, or related discipline; Proven experience in ore characterization and process development; Strong
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methods (e.g., ethnography, archival research, spatial analysis). Strong interest in interdisciplinary and Global South perspectives. Excellent writing and communication skills in English; proficiency in
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physicochemical and analytical tools such as spectroscopy, microscopy, porosity analysis, to assess structure-property relationships. Conduct comprehensive evaluations of developed fertilizer formulas in laboratory
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of Science, Technology & Innovation (IST&I) of Mohammed VI Polytechnic University (UM6P) in Ben Guerir is dedicated to high level of education, research & innovation in science and engineering. Research