119 software-defined-networking Postdoctoral positions at MOHAMMED VI POLYTECHNIC UNIVERSITY in Morocco
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-to-date science and technology. Oriented towards Africa, ASARI acts in connection with a wide network of universities and research centers around the continent in order to link real field issues with up
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bioenergy, cultivation and conversion of micro and macroalgae, and geology and mining. Oriented towards Africa, ASARI acts in connection with a wide network of universities and research centers around the
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Qualification Type: Postdoctoral position Location: Ben Guérir, Morocco Funding for: National/International Researchers Funding amount: To be defined Hours: Full Time Placed On: 21/05/2025 Closes
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state-of-the-art campus and infrastructure, has woven a sound academic and research network, and its recruitment process is seeking high quality academics and professionals in order to boost its quality
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innovation at the service of education and development. This unique nascent university, with its state-of-the-art campus and infrastructure, has woven a sound academic and research network, and its recruitment
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development. This unique nascent university, with its state-of-the-art campus and infrastructure, has woven a sound academic and research network, and its recruitment process is seeking high-quality academics
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at Benguerir (50 km north of Marrakech), Morocco. The net salary per month is 2000 USD. The initial appointment as Postdoctoral researcher will be for one-year renewable depending on satisfactory performance
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infrastructures to enhance energy management, transportation networks, and urban sustainability. Key Responsibilities Design and implement digital twins to monitor and optimize urban systems, including
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development. With its state-of-the-art campus and infrastructure, this unique nascent university has woven a sound academic and research network, and its recruitment process is seeking high-quality academics
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neural networks, transformers) for cross-omics data representation and feature extraction. Apply multi-view learning, transfer learning, and data fusion techniques to integrate heterogeneous omics datasets