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Title of the project: Genetics of brain diversity in autism The laboratory: Human Genetics and Cognitive Functions Unit (Dir. Thomas Bourgeron) Duration of the contract: 2 years The aim
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genetic engineering approaches (ranging from transfection to genome editing) in temperate Symbiodiniaceae cultures. The symbiosis between cnidarians and dinoflagellates is one of the most important marine
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subcellular localization or actin dynamics, the candidate will investigate the impact of mitochondrial activity and the actin network on germ granule functional organization. - Drosophila genetics - Molecular
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human genetic diseases, within the framework of a project funded by the Foundation for Medical Research until January 31st 2029. The successful candidate will utilize ancient genomes and the results
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, we observed size-specificity in the adaptation process at the phenotypic, genetic and mechanistic levels. However, we still do not understand the molecular pathways by which cell size shapes cellular
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Sequencing samples from the UKBiobank. The project aims at the wide-spectrum prediction of human phenotypes, unlocking new frontiers in clinical genetics, precision medicine, disease risk prediction, and
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Inria, the French national research institute for the digital sciences | Villeneuve la Garenne, le de France | France | 2 days ago
to bandit algorithms when the performance criterion is not the expected outcome but some risk averse measure such as CVaR or entropic risk. The objective is to propose and analyze new risk-aware bandit
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28 Feb 2026 Job Information Organisation/Company CNRS Department Institut de Recherche en Informatique Fondamentale Research Field Computer science Mathematics » Algorithms Researcher Profile First
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25 Jan 2026 Job Information Organisation/Company CNRS Department Institut de Recherche en Informatique Fondamentale Research Field Computer science Mathematics » Algorithms Researcher Profile First
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validated at CPPM. In parallel, the candidate will improve data reconstruction algorithms by using artificial intelligence techniques (e.g. neural networks), to optimize the separation between signal and