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emphasize the different kind or levels, known as layers, of connections between the elements of the network and the interactions between these levels as well. In order to capture the structure and complexity
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infrastructure, has woven a sound academic andresearch network, and its recruitment process is seeking high-quality academics and professionals to boost itsquality-oriented research environment in the metropolitan
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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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start her/his activities in ACER’s facilities at the UM6P campus in Benguerir and will then move permanently to the IART new R&D center at UM6P in the OCP chemical complex in Jorf Lasfar after
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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-oriented research
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. The successful candidate will develop advanced machine learning (ML) models to automate and optimize retrosynthetic analysis, facilitating the discovery of efficient and sustainable synthetic routes for complex
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to uncover biomarkers, therapeutic targets, and mechanistic insights into complex diseases. The project addresses critical challenges in personalized medicine, disease stratification, and multi-modal data
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CBS - Postdoctoral Position, Artificial Intelligence Applied to Metabolomics for Health Applications
, and Precision Health. The project aims to leverage AI and machine learning (ML) to analyze complex metabolomics datasets and address key health challenges, including biomarker discovery, disease
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order to capture the structure and complexity of relationships between the nodes of networks with a mul-tidimensional nature, tensors are used to represent these kind of networks. For example
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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