176 computational-materials-science Postdoctoral positions at MOHAMMED VI POLYTECHNIC UNIVERSITY
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Global Critical Zone Science Chair to develop and conduct a research program to better understand forest nutrition and nutritional stress in Eucalyptus forest stands in Brazil. Research context: Forests
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. Assist in the preparation of new research proposals. Collaborate with the team members and international academic partners. Qualifications Ph.D. in communications engineering, computer science/engineering
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. Contribute to the supervision of Master’s and Ph.D students. Qualifications Ph.D. in Artificial Intelligence, Data Science, Climate Science, Geoinformatics, Applied and Computational Mathematics, or related
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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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, distributed ones. Their low input data requirements and flexible application make them widely used by water managers. While very attractive, these models can be pretty challenging when attempting to compute
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that are composed of individual parts or components linked together in some way. Examples include the Internet, a collection of computers linked by data connections, human societies, which are collections of people
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development, genomics, mathematics, computer science, or related fields Complete CV Short research statement (summary) Interest in intracellular organelle/cell biology, signal transduction, proteomics, drug
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part of the project team. Applicant requirements Ph.D. in bioinformatics, proteomics, drug design and development, genomics, mathematics, computer science, or related fields Complete CV Short research
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on analyzing satellite-derived data (Sentinel-3, Landsat) to monitor coastal ecosystem changes. Develop workflows in R, Python, or MATLAB to process and analyze ocean color data, with a focus on chlorophyll-a
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and Technology Transfer Center (AITTC), part of the College of Agriculture and Environmental Sciences (CAES), is dedicated to delivering high-impact research and services in agronomy, soil fertility