146 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "UNIV" positions in Morocco
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partners and microbiome researchers to integrate multi-omics data for comprehensive resistome analysis. Publish high-quality research articles and present findings at international conferences. Contribute
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projects Keep the project team apprised about relevant information, progress and results of research activities, and clarify any issues in the implementation of projects/experiments in a timely manner as
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microbiomes and interpret the data using bioinformatics tools. Collaborate with interdisciplinary teams of researchers, including soil scientists, biochemists, and ecologists. Publish research findings in peer
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Osmosis (FO) — Reverse Osmosis (RO) system. The work of this project includes lab work, computer modelling, life cycle assessment, and techno-economic study. The project will contribute to protecting water
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-related instrumentation projects Teaching and mentoring abilities Contact Information: For questions or more information, please get in touch with Abdelouahed.elfatimy@um6p.ma UM6P.
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interdisciplinary team projects Contact Information: For questions or more information, please get in touch with Abdelouahed.elfatimy@um6p.ma UM6P.
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We are in search of a highly qualified researcher for one postdoctoral research opening in our team. Please see the information below: Postdoctoral Fellowship in Organic Chemistry Duration: 12
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communication resources to train the federated machine learning model efficiently. She/he will investigate realistic scenarios including non-iidness of data distribution, system heterogeneity, and dynamic
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coefficient modeling. Experience in integrating modeling with leaching and separation processes for scale-up. Advanced data interpretation using electron diffraction, dendritic growth modeling, and REE behavior
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of innovative solutions in the fields of Process Systems Engineering. Key Responsibilities: Research Excellence: Drive pioneering research in process systems engineering, with a focus on first principles and data