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of the project (https://anr.fr/projet-ANR-24-CE28-5107 ). Main Tasks • Development of a research axis: The recruited researcher will be responsible for leading the research axis focusing on the relationship
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the consequences of climate change and strengthen the resilience of mountain areas. The thesis will be based on a multidisciplinary approach combining statistical analysis, level-meteorological modeling, and machine
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and collective memory in contemporary societies." Where to apply Website https://aap.univ-pau.fr/details?view=programme&cid=33 Requirements Research FieldManagement sciencesEducation LevelMaster Degree
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Evolutionary Biology (LBBE - https://lbbe.univ-lyon1.fr/ ) under the direction of Carina MUGAL and co-direction of Laurent DURET. The PhD student will be provided with an office space and a laptop, and will also
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the analysis of voting rules using robust and interpretable mathematical tools. It explores the writing of voting modes as the result of an optimization problem. Based on statistical depth functions
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Institute National De La Santé Et De La Recherche Médicale | Paris 15, le de France | France | about 2 months ago
analyzed through constraint-based modeling combined with metabolomics, proteomics, methylome sequencing, and statistical methods. Briefly, the project will use the AGORA2 resource of genome-scale metabolic
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. Beyond three years, an equivalent contract will be offered, similar to those offered to research engineers. Recruitment open to anyone with RQTH status Where to apply Website https://recrutement.univ-lr.fr
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as an Ecological and Biogeochemical Regulator on Earth'. The position is under the supervision of Dr. James Bradley (https://www.jbradleylab.com/ ). The recruited person will work with the principal
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science, or a related field. Strong background in quantitative methods and statistical analysis. Experience with computational tools for large-scale data analysis (e.g., Python, R, SQL). Familiarity with
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, Communication, Optimization • SyRI: Robotic Systems in Interaction The PhD student will join the CID team, whose research focuses on Artificial Intelligence, including statistical learning, uncertainty management