152 computer-science-programming-languages-"U" Postdoctoral positions at MOHAMMED VI POLYTECHNIC UNIVERSITY
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. Required Qualifications : Doctorate: A PhD in Industrial Engineering, Environmental Engineering, Waste Management, Data Science, or a related field. Modeling Expertise: Proven experience in designing
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/interface engineering for cathode materials. Prior experience in co-supervision and mentoring of PhD/Master’s students. Competencies & Personal Qualities: Strong communication skills in English (spoken and
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capable of writing scientific reports Demonstrate aptitude for teamwork Have a good command of English Main Tasks: The successful candidate must have the ability to: Design, implement, and validate
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refinement for phase analysis. Electron microscopy (SEM, TEM, EDS) for morphology and elemental distribution. Spectroscopic techniques (XPS, Raman, FTIR) for surface chemistry studies. Electrochemical
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Post-doctoral fellowship in the development of MOF catalysts for photocatalytic CO2 conversion and water splitting Mohammed VI Polytechnic University (UM6P) - Chemical & Biochemical Sciences CBS
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, pedology). Demonstrated experience in advanced digital soil mapping and remote sensing. Experience with handling large geospatial dataset using High performance computing (HPC) Advances programming (e.g
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. Oriented towards Africa, ASARI acts in connection with a wide network of universities and research centers around the continent in order to link real field issues with up-to-date science. The institute has
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Qualifications Ph.D. in hydrology, environmental engineering, urban planning, or a related field. Expertise in urban hydrology, water cycles, and stormwater management. Strong background in flood and drought risk
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computer programming tools such as Matlab and/or Python. Knowledge of statistics and mathematical modeling. Experience in large spatial data processing, analysis, and interpretation. Experience in running
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. in Bioinformatics, Computational Biology, Data Science, Artificial Intelligence, or a related field. Proven experience in multi-omics data integration, omics data analysis (genomics, transcriptomics