178 machine-learning-phd Postdoctoral positions at MOHAMMED VI POLYTECHNIC UNIVERSITY in Morocco
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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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the broader research community. Experience and Qualifications PhD in Soil Science, Remote Sensing, Environmental Science or a related field. Strong experience in Soil sciences (e.g., physics, chemistry
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to the in-situ field measurements at Itatinga. The Ecotron experiments are not part of the postdoctoral work and will be made by a French PhD student. Combining data from Eucalyptus stands and
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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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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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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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: 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