140 phd-studenship-in-computer-vision-and-machine-learning Postdoctoral positions in Morocco
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spatial distribution of critical topsoil properties in global drylands. Process large-scale geospatial and remote sensing datasets using High Performance Computing (HPC) systems. Conduct data analysis, and
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to serve Morocco and the African continent. Its vision is honed around research and innovation at the service of education and development. This unique nascent university, with its state-of-the-art campus
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to establish a distinctive, internationally recognized research and teaching program to address UM6P's challenges in research and education, particularly in green and environmental chemistry applied to all
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and 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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and the African continent. Its vision is honed around research and innovation at the service of education and development. With its state-of-the-art campus and infrastructure, this unique nascent
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closely with industrial partners to translate lab-scale innovations into commercial applications. Contribute to research grant applications and proposal writing. Mentor PhD and Master’s students in battery
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: Work closely with industrial partners to translate lab-scale innovations into commercial applications. Contribute to research grant applications and proposal writing. Mentor PhD and Master’s students in
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to the management of research projects, including writing funding proposals, coordinating with partners, and monitoring budgets. Required Qualifications: PhD: A PhD in economics, finance, urban studies, urban
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partners, and other research institutions; Publish research findings in peer-reviewed scientific journals. Qualifications: PhD in geology of igneous rocks or equivalent, obtained within the past two years
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international users in water and food systems. Job Description: Over the past few years, advances in computational power and the increasing availability of large volumes of remote sensing data with finer spatial