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Inria, the French national research institute for the digital sciences | Palaiseau, le de France | France | about 1 month ago
in particular computer vision. Particular topics of interest include visual comprehension, hyperspectral imaging, numerical and parallel optimization, and unsupervised learning. A particular emphasis
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-objective RL agents - Optional LLM integration for strategy generation - Deployment on partner platforms - Longitudinal experimental analysis - Participation in publications and project deliverables Expected
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dataDesigning hierarchical graph‑based models to predict toxicity under uncertainty by linking molecular‑level and system‑level knowledgeAdvancing causal inference methods to predict transformation products under
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quality and chronic conditions (Objective 2); - an aetiological study of the external exposome’s impact on mayors’ health upon taking office and after two years in office – prospective analysis (Objective 3
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quantitative methods skills and relevant experience in data preparation & analysis ● Proficiency in using Stata and/or R ● Fluency in English ● Strong intrinsic motivation to conduct world-leading, high-impact
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the field. Perform quantitative analysis and agent-based modeling of behavior. Report, discuss, and present data to the team. The position is for 36 months. Laboratory work using virtual reality (VR
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PhD fellowship 2 – Alexander von Humboldt and French-German Networks in the Early History of Ecology
, interdisciplinary, and case-study approaches—such as analyzing expeditions, correspondence networks, collections, and visualizations—are strongly encouraged. The position offers opportunities to work across archives
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) for the synthesis of natural alterin and analogues. Depending on the stereochemistry obtained by Marfey analysis, the synthesis of -OH Dab will be carried out from 5-hydrox-yectoin using the protocol developed by
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and Analysis for Sustainable Agriculture All details are avaiable here : https://www.eu4greenfielddata.eu/content/download/209/2153?version=3 EU Recruiting institutions University Claude Bernard Lyon
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comprehensive assessment of cumulative impacts requires a more thorough integration of the effects of wind farms, including an analysis of interactions between different scales, a more realistic representation of