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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
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