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/validation of the models used; Graphical modeling and visualization of the data; Contribution to the writing of scientific articles. The recruited individual will work within the Praxiling laboratory (UMR 5267
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essential) ● Experience and/or expertise in data visualization (preferable, but not essential) LanguagesENGLISHLevelExcellent Additional Information Benefits What we offer: ● Vibrant research environment
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, Slurm, etc.). - Strong skills in Python for data analysis and visualization. - Clear communicator with proven ability to write, synthesize, and present scientific results. Website for additional job
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molecular dynamics simulations of modified nucleosomes - analyze the large data set obtained using various analysis tools, from visualization to automation using machine learning tools - perform QM/MM
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the preparation of future technology transfer actions. Expected Outcome The main expected outcome of the project is the realization of a serial soft robot whose inflatable actuators can be addressed by multiplexing
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and male-male competition are often observed, because visual cues often trigger such behavioural responses. In mimetic species, pheromones divergence and olfactory receptors are thus predicted to be
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with researchers from various disciplines to study the effect of water regime disturbances on the interactions between microbial hosts and their viruses in soil, and their impact on greenhouse gas (GHG
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potential outcome is to improve the predictive accuracy of correlative-based SDMs at species' range margins where soil dependencies may be a significant barrier to effective SDM application. Where to apply
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understand these environments – wetlands are among the most productive and most threatened ecosystems on the planet – in order to manage them more effectively. Convinced that Mediterranean wetlands can only be
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rigour Curiosity Ability to work effectively in an interdisciplinary team environment Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR6290-KEVMAC-002/Default.aspx Work Location(s