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Location: Benguerir, UM6P Contract Type: Fixed-Term Contract (FTC) Duration: 2 years Start Date: As soon as possible Job Description: The specialist in urban energy networks is responsible
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learning methods. Develop deep learning architectures (e.g., variational autoencoders, graph neural networks, transformers) for cross-omics data representation and feature extraction. Apply multi-view
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optimize urban energy networks. Conduct case studies on specific cities to evaluate network performance and propose management strategies. • Communication and Dissemination: Prepare and present reports
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CBS - Postdoctoral Position: Artificial Intelligence Applied to Metabolomics for Health Applications
disorders, and microbiome-related health issues by applying advanced AI/ML techniques for biomarker discovery and metabolic network modeling. Scientific Challenges Addressed in the Position: High
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Postdoc in Network Tensor Completion About Mohammed VI Polytechnic University (UM6P): Located at the heart of the Green City of Benguerir, Mohammed VI Polytechnic University (UM6P), a higher
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sound academic and research network, and its recruitment process is seeking high-quality academics and professionals to boost its quality-oriented research environment in the metropolitan area of
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optimize urban energy networks. Conduct case studies on specific cities to evaluate network performance and propose management strategies. Communication and Dissemination: Prepare and present reports
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Job related to staff position within a Research Infrastructure? No Offer Description Postdoc in Network Tensor Completion About Mohammed VI Polytechnic University (UM6P): Located at the heart of the
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research and 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
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. However, very little work has been performed on system/network optimization while considering the communications requirements jointly with the decision fusion process. This approach will produce novel