176 machine-learning-phd Postdoctoral positions at MOHAMMED VI POLYTECHNIC UNIVERSITY
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-reviewed journals. Prepare innovative research projects and prepare grant-proposals Supervise Postdoc, PhD and Master students as well as interns Project management including budget, materials, equipment
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. Contribute to the supervision of master and PhD students. Qualifications: Ph.D. in Earth Sciences, Remote Sensing, Physics, Applied mathematics, or related field. Strong background in land surface modeling
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present your findings at scientific conferences. Experience and Qualifications: PhD in Agriculture, Environmental Science, Climate Change, or a closely related field. Strong background in agronomy, crop
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learning, that is committed to an educational system based on the highest standards of teaching and research in fields related to the sustainable economic development of Morocco and Africa. UM6P is an
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, analysis, interpretation, and presentation. Supervise Postdoc, PhD and Master students as well as interns Project management including budget, materials, equipment, and staff Research proposal writing
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publications Candidate Profile: PhD in catalytic processes or equivalent in a relevant field Relevant experience in conducting catalytic tests Experience in analyzing gas-phase products using chromatographic
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field and laboratory equipment, order supplies and help maintain research plot records and. Responsibilities also involve frequent travelling to different areas in Morocco and Africa. Education PhD degree
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efficient future. About UM6P Mohammed VI Polytechnic University (UM6P) is an internationally oriented institution of higher learning committed to an educational system based on the highest standards
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: PhD in environmental science, soil science, surface geochemistry, or related fields from a recognized morrocan or african university. At least one or two high publications record in international well
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at a reduced cost. In this context, we are looking for a highly motivated postdoctoral researcher to join our team at the CRSA to develop AI models, specifically deep learning approaches, to analyze and