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Field
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Neuroscience (IoPPN). The centre aims to better understand the complex interrelationships between society and mental health, with a commitment to: Ensure that the impact of social context is central to how we
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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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of the Microverse” (www.microverse-cluster.de ), the CRC/Transregio 124 “Pathogenic Fungi and Their Human Host: Networks of Interaction” (www.funginet.de ) funded by the Deutsche Forschungsgemeinschaft and the
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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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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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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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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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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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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