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applied knowledge in evolutionary genetics and epidemiology, particularly on antibioresistance evolution in bacterial or eukaryotic pathogens. Activities : - model the demographic and evolutionary responses
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the impacts of these symbionts on tick population genetics. First, she/he will test whether maternally inherited symbionts influence mitochondrial diversity in ticks through indirect selective sweeps
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or equivalent LanguagesFRENCHLevelBasic Research FieldBiological sciences » BiologyYears of Research ExperienceNone Additional Information Eligibility criteria Know-how. Expertise in molecular genetics of S
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nonstationary models and algorithms for analyzing various biological signals. The project will focus mainly on developing innovative models for biomedical signals with irregular cyclicity and exploring potential
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for: • Contributing to various tasks related to the modeling of lipids and membrane proteins involved in lipid droplet biogenesis. • Developing and implementing the POP-MD algorithm in the OpenMM software
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learning, and generative AI Design and implement algorithms for quantum-inspired and quantum-enhanced generative models Investigate theoretical foundations of tensor networks, entanglement, and collapse
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components: - operational modal analysis to extract the modes of the probed medium, - algorithmic and experimental developments on the MSE method - and algorithmic and experimental developments on the MFP
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the Grenoble synchrotron. You will join the group responsible for developing diffraction analysis algorithms at the Grenoble synchrotron. Where to apply Website https://emploi.cnrs.fr/Candidat/Offre/UMR5510
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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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5 Sep 2025 Job Information Organisation/Company CNRS Department Laboratoire d'Informatique, Signaux et Systèmes de Sophia Antipolis Research Field Computer science Mathematics » Algorithms