101 software-testing-short-course Postdoctoral positions at MOHAMMED VI POLYTECHNIC UNIVERSITY in Morocco
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, testing, and demonstration of novel CCUS technologies Process simulation, cost, life cycle, and social assessment of CCUS value chains Reactor design, optimization, and sizing using phenomenological and/or
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characterization of porous functional materials such as MOFs and MOF composites as well as the fabrication of different nanoparticles Able to examine the textural and structural changes of porous material catalysts
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operate lab-scale BMED setups, including multi-compartment electrochemical cells. Test and characterize membranes: transport properties and selectivity. Monitor and analyze system performance: current
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of software tools for the broader research community. Responsibilities: Develop and implement transformer-based genomic language models for bacterial genome analysis. Train and evaluate models on large-scale
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of the following competencies. Experimental development, testing, and demonstration of novel CCUS technologies. Process simulation, cost, life cycle, and social assessment of CCUS value chains. Reactor
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promoted as far as funding is developed by research teams. The research programs are integrated from long-term research to short-term applications in linkage with incubation and start-up ecosystems. About
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. Strong knowledge of heterogeneous catalysis and computational chemistry. Experience with computational modeling (i,e, DFT, and/or molecular dynamics). Familiarity with software such as Material Studio
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secondary sources (e.g., slags and industrial wastes). Developing purification pathways to produce battery-grade vanadium for energy storage applications. Applying thermodynamic modeling tools (CALPHAD
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and thus regulate the Earth’s global climate at short time scales. In its 2022 report for policymakers, the Word Resource Institute (Seymour et al., 2022) draws attention to the fact that forests do not
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interdisciplinary team focused on developing innovative numerical algorithms and software to address emerging challenges in scientific computing and machine learning. The research will emphasize both theoretical