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Field
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data analysis experts. The main tasks include the analysis of complex biomedical data using modern AI methods, as well as the development of novel machine and deep learning algorithms to understand
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developing advanced, technologically driven solutions for integrated monitoring and decision-making systems for complex structures and infrastructures. We invite applications for a postdoctoral research
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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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EURL activities - Assist in method development and validation - Contribute to technical reports, research projects, and scientific publications - Liaise with network partners across Europe as part of
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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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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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research projects aimed at (1) understanding the molecular mechanisms by which trabecular meshwork protein modifications induce fibrosis by transforming epithelial cells to myofibroblast-like cells (2
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chain network analysis and geospatial modeling. The successful candidate will have strong data science skills, including experience working with large, complex data from varied sources, and machine
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transportation networks. In particular, the successful candidate will conduct cutting-edge research in: Adaptive incentive mechanism design for complex sociotechnical systems Strategic learning and equilibrium
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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