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models, the project will assess biodistribution, immune activation, and tumor response. Key objectives include characterizing immune modulation, optimizing treatment regimens, and evaluating
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reactor MOX, are inadequate due to altered thermodynamic behavior. Optimal sintering parameters are essential but complex to define, especially under industrial conditions using continuous furnaces with
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degradation. Within those properties, the study of thermo-physical properties is a critical aspect for the optimization and development of safer and more performing nuclear fuel forms. The online measurement
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integration of simulation and AI-based analysis. An analytical Monte Carlo-inspired simulator will optimize system geometry and acquisition parameters, support sensitivity studies, and serve as a forward
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of the external pressure acting on it. This last point is very important, as it enables us to determine the pressure acting on future repository galleries and, consequently, to optimize a DGR. Therefore, this PhD
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with an in depth characterization of the genotypic configuration of resulting 2n pollen Technical design and optimization of practical methods for inducing 2n pollen grains and obtaining triploid progeny