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Field
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complex, multi-scale systems. The group is part of the Mathematics in Computation (MiC) Section of the Computer Science and Mathematics (CSM) Division. CSM delivers fundamental and applied research
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the department and across the university and join a cross-institutional research team focused on neuroscience, aging, and -omics data analysis. Responsibilities Develop and apply innovative machine learning
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doctoral degree in applied mathematics, physics, computer science, biomedical engineering, mathematical biology, computational systems biology, or related field. Demonstrated experience in at least one of
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TeMPlex project, which develops a new topological approach to the analysis of complex dynamics from simulated or observed data. The study of hydrological data is one of the applied research axes
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is the study of complex systems, by means of the analysis of real-world data, their modelling through mathematics and numerical simulations, and their control and optimization. The different poles
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research environment. KEY RESPONSIBILITIES & ACCOUNTABILITIES Research and Analysis (50%) Design, develop, and implement mathematical and computational models for disease transmission dynamics Analyze large
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Inria, the French national research institute for the digital sciences | Bures sur Yvette, le de France | France | about 1 month ago
. - Strong background in mathematical modeling (preferably physiological systems) and/or control theory. - Experience in signal processing and artificial intelligence methods (time-series analysis, machine
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analysis of complex, longitudinal, and high-dimensional data (e.g., immunometabolic profiles, clinical data, biomarkers). Development and application of predictive models and algorithms for diagnostics
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Contribute to the preparation of scientific and technical reports. Develop and apply methodologies based on Density Functional Theory (DFT) to complex systems. Support simulation tasks and results analysis
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Data Assimilation, ESG Analysis, and Complex Network Theory for the Preservation of Global Commons” (Sub Project Leader: Tetsuo Hatsuda, Director of Division of Applied Mathematical Science) within