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. Tasks 1. Modeling and analysis of uncertainties The first phase of the research will focus on identifying, structuring, and integrating major sources of long-term uncertainty that influence strategic
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research laboratory in solid-state physics, nanoscience, molecular chemistry, and materials science. Its activities range from the synthesis of (nano)materials and molecular systems to the study and modeling
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Infrastructure? No Offer Description The postdoctoral researcher will contribute to the ANR-funded Pi-CANTHERM project, which aims to design, model, and predict the performance of new n‑type organic thermoelectric
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to propose an electronic wave packet that significantly increases the quantum yield of the photo-conversion reaction. - simulation of the quantum dynamics of the photochemical reaction induced
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/autumn floods. The interdisciplinary SUPRAGRASS project addresses these challenges by developing operational tools based on remote sensing, ecosystem simulation, and stakeholder engagement. The aim is to
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primarily focus on one or more of these parts. The successful candidate will develop numerical tools and/or theoretical models to model and simulate the behavior of a group of agents capable of chemical
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Post-doctoral Position in AI Causal models for Synchrotron Anomaly Detection H/F This post-doctoral position is part of a collaboration between LIAD (Laboratory of Artificial Intelligence and Data
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kinetics models developed by the CEA-Liten in Grenoble. Electrochemical characterization of whole cells The complete cells, with a surface area of less than 10 cm2, integrating improved reference materials
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. - Experience in Research and Data Analysis : Proven research experience, including statistical analysis. Familiarity with regression models and longitudinal data analysis (GAMMLS) would be viewed favorably
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to guideline analysis, the construction of simulated trials, and the feasibility assessment in French databases (SNDS, CONSTANCES, EDS-APHP). Activities : Contribute to the design of simulated trials (target