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help reduce uncertainties in climate forecasts and better assess the effects of aerosols on atmospheric systems. The postdoctoral researcher's mission will be to develop and improve the WRF-Chem model
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methods to enhance our suite of metabolic modeling tools, including, but not limited to, the calculation, comparison, sampling, and visualization of fluxes. He or she will use these tools to integrate and
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Eligibility criteria The candidate must have a strong background in materials physics, atomistic simulation, or numerical modeling. Experience in molecular dynamics and handling force fields is required
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models of suspense or tension), almost exclusively formalises the **intensification pole**: engagement, tension, presence, agency. The project requires the opposite pole, a **narrative restraint**: making
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quantify intraspecific and interspecific interactions, taking into account environmental, spatial and temporal variation. TASKS: The work is based on data analysis and modelling approaches. An initial phase
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learning, epigenomic data, and mechanistic modelling. The mission is to contribute to the development of predictive models of the replication initiation probability landscape (IPLS) from limited experimental
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data and applied to public datasets, e.g. Fermi-LAT and DESI. The two postdocs will be recruited simultaneously and will work as a team toward a single joint pipeline. Position 1 — LSS forward modelling
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postdoctoral fellow will investigate the effects of novel immunotherapies in both in vitro and in vivo inflammatory models. They will contribute to antibody production and perform detailed structural and
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C Moutou. This project aims at modeling the magnetic topologies and accretion processes of pre-main sequence low-mass (T Tauri) stars, monitored with the SPIRou near-infrared spectropolarimeter
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for Organoids, Liver, and Lab On-Chip' led by the industrial partner Fluigent and funded by BPI (Biotherapies and Bioproduction of Innovative Therapies programme), develop biological liver-on-a-chip models