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on simulating nanoalloy structures to create a database for materials characterization. The main tasks include running molecular dynamics and Monte Carlo simulations to model nanoalloys under various
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-month PostDoc position in modelling land-cover change at watershed-scale. Project Overview Deep-C brings together a consortium of experimentalists and modelers to explore the coupled carbon (C) cycling in
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represents a model for research on HIV-cure (i.e., spontaneous control by the immune system, allowing anti-retroviral treatment interruption). Plasmacytoid dendritic cells (pDC) are central to the difference
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at various points in a subcritical model reactor operating at near-zero power and driven by an external high-intensity, high-reliability neutron source; 2) Extending the previous results to a power ADS loaded
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into the research team, engage socially with other members, share ideas, and mentor junior researchers or students. Website for additional job details https://emploi.cnrs.fr/Offres/CDD/UMR7006-JOHSCH-009/Default.aspx
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at various points in a subcritical model reactor operating at near-zero power and driven by an external high-intensity, high-reliability neutron source; 2) Extending the previous results to a power ADS loaded
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, set up in 2015 by the ECOPATHS project coordinator. A third strand will combine modelling and social anthropology approaches to gain a better understanding of the risks of disease emergence in this type
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well as potential power deposition on accelerator elements and potential damage. •Subsequently perform the benchmarking of the accelerator model from the Bmad code to the Xsuite / RF-Track codes. This work will
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from ground or space. The work will consist of continuing to test and process data for inferring information on non-homogeneous aerosol model in the GRASP retrieval algorithm in order to improve
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funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The main objective of the project is to develop an instrument model to predict