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of environmental sustainability standards. Experience with data prediction and classification techniques. Computer Skills Good proficiency with optimization tools (CPLEX, SAP). Experience with data analysis software
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to the chemical and Process Engineering stream. The candidate will also be expected to participate in UM6P's collective projects and external missions, and to provide support to students (PhD and Master), i.e
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activities. Qualifications: Ph.D. in Bioinformatics, Computational Biology, Computer Science, Genomics, or a related field. Strong background in machine learning, particularly deep learning and natural
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Entity: ASARI-UM6P Laâyoune, Biorefinery and Bioenergy research program About UM6P: Mohammed VI Polytechnic University (UM6P) is an internationally oriented institution of higher learning, that is
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About UM6P: Mohammed VI Polytechnic University (UM6P) is an internationally oriented institution of higher learning, that is committed to an educational system based on the highest standards
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project calls. Participate in scientific publication and dissemination of results to policymakers and communities. Required Qualifications: PhD in geomatics, data science, computer science, urban
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to scientific publications and project reporting. Candidate Profile PhD in electrochemistry, chemical engineering, materials science, or a related field. Hands-on experience with electrodialysis, electrochemical
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(especially libraries like Pandas, NumPy, SciPy, GeoPandas, etc.), and R. Advanced skills in predictive modeling and machine learning, particularly for multi-variable simulations. Knowledge of complex systems
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, Agronomy, modeling, biostatistics, or related field The applicant should have documented knowledges in Geospatial analysis, machine learning, and predictive modelling, Have a good command of programming
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About Mohammed VI Polytechnic University (UM6P) Mohammed VI Polytechnic University (UM6P) is an internationally oriented institution of higher learning, that is committed to an educational system