182 phd-scholarship-in-computational-material-science Postdoctoral positions in Morocco
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communication. Criteria of the candidates: PhD in Chemistry, Physics, Materials Science, or related disciplines, with a focus on inorganic materials and/or electrochemistry. Strong motivation and passion
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the context of thermal energy storage. Criteria of the candidates: PhD in Chemistry, Physics, Materials Science, or related disciplines, with a focus on inorganic materials and/or electrochemistry. Strong
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providing guidance to PhD students who are actively involved in ecohydrological modeling research. Conduct laboratory analyses and field work. Collaborate with local researcher from the college of agriculture
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Qualifications: PhD in Geography, Urban Planning, Urban Sociology, Public Policy, or a related field. Expertise in social and economic geography to study territorial disparities. Understanding of key concepts
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and providing guidance to PhD students who are actively involved in ecohydrological modeling research. - Conduct laboratory analyses and field work. - Collaborate with local researcher from the college
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-oriented research environment in the metropolitan area of Marrakech. Job description: The Agricultural Innovation and Technology Transfer Center (AITTC), part of the College of Agricultural and Environmental
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component of the Mohammed VI Polytechnic University (UM6P). ASARI is located in Laayoune City and constitutes a structure of practical-based research leveraging up-to-date science and technology with a vision
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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
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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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of the candidate: PhD in atmospheric sciences or a closely related field The candidate should have experience in climate model development and assessements A strong programming background and use of HPC are required