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. - Conduct high-throughput serum proteomic analyses and integrate molecular datasets. - Validate candidate biomarkers in independent cohorts. WP3.2 – Integrated predictive modeling: - Develop integrative multi
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of the microbial ecology results in mineralized environment in the petrology and thermodynamic modeling components of the project. This project involves 6 (teachers)-researchers and research engineers from
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academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular Networks, and
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of reactions between the metal-bearing hydrothermal fluid and organic carbon. The task will implement an innovative methodology integrating in-situ spectroscopy and physicochemical modeling. Through
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, resilience and evolution of marine life to develop solid theories and predictive models of the relationships between marine biodiversity and ecosystem functions, which will in turn lead to improved economic
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quantitative and machine learning approaches ● Developing predictive models linking nuclear features to future cell fate ● Interacting with collaborators in imaging, computational biology, and developmental
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. Starting position for grantees will be March-April 2027. PhD candidates are welcome to apply but they must obtain their PhD degree by the end of 2026. Fellowship is for a duration of 24 to 36 months
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through molecular modeling, to the synthesis of new organic molecules (heterocyclic compounds, sugar derivatives, and nucleoside analogues), to extraction from natural sources (plants) using advanced
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-Valéry Montpellier 3 University / CNRS), and movement science experts (EuroMov DHM – University of Montpellier / CNRS). Its aim is to model the articulation between gesture and speech through the study of
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-month PostDoc position in modelling land-cover change at watershed-scale. Project Overview Deep-C brings together a consortium of experimentalists and modelers to explore the coupled carbon (C) cycling in