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approaches and radiation–matter interaction models 3. integration of these models in order to evaluate microstructural variations as a function of dose deposition and/or radiation-induced cellular and sub
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of residence: All Eligibility of fellows: nationality/ies: All Selection process In order to participate in the selection, please read the call ("bando") available at the following website: https://www.polimi.it
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? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No Offer Description Development of High-Order Structural Models Based on CUF and Advanced FEM
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Coordinate contribution to modelling projects and platforms supporting reporting, communication andmeeting organization Where to apply Website https://jobs.helmholtz-hzi.de/job-invite/654/ Requirements
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robustness of the mechanisms used, in order to guarantee alignment with the principles of the Artificial Intelligence Act. Where to apply Website https://www.santannapisa.it/it/assegni-di-ricerca-e-selezioni
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 2 days ago
activities Access to vocational training Social security coverage €2300 gross/month Selection process Website for additional job details https://jobs.inria.fr/public/classic/en/offres/2026-09927 Work Location
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-reduced-order model. 4) Developing software for transferring the modeling with a simplified User Interface. Key Responsibilities: Actively support the Principal Investigator in project R&D, management
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what alignment is required between the world models of agents and humans that collaborate. You also develop communicative strategies for the agent to detect misalignments and take actions to resolve
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the GEOSIC project, based on research in geopolitics. We will implement the scenarios developed for the SAI deployment in a climate model coupled with a control module (PID) in order to quantitatively simulate
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of/on networks with higher-order interactions. This will be in collaboration with an NSF-funded ASU-UCLA team using ants as a model system and developing theory to characterize dynamic processes on networks as