70 distributed-computing-"Meta"-"Meta" Postdoctoral positions at MOHAMMED VI POLYTECHNIC UNIVERSITY
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Job Description As part of our laboratory's research initiatives, we are conducting advanced research on the computational modeling and optimization of heterogeneous catalysts for various catalytic
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Job/Project description: The College of Computing at Mohamed VI Polytechnic University (UM6P), Benguerir, Morocco is seeking applications for a Postdoctoral Research position with a research focus
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computing (HPC). This position offers an exciting opportunity to work on cutting-edge research projects at the intersection of numerical linear algebra and advanced HPC. The candidate will join an
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UM6P College of Computing: The College of Computing, with a campus in Rabat and a campus in Benguerir, is a central component of the University Mohammed VI Polytechnic (UM6P). The main goal
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Post-doctoral position in Genomics and Bioinformatics/Computational Biology (12680) Mohammed VI Polytechnic University is an institution dedicated to research and innovation in Africa and aims
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Polytechnic, Benguerir, Morocco, is seeking applicants for a Post-Doctoral position in Genomics and Bioinformatics/Computational Biology. The successful candidate will be part of the CBS and will conduct
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, Molecular Biology and Bioinformatics. Job/Project description: The AgroBioSciences Program (AgBS) at the Mohammed VI Polytechnic University is seeking a post-doctoral fellow in Genomics and Bioinformatics. We
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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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, 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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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