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) to develop an accurate, stochastic multibody simulation model. This model dynamically updates key parameters to predict effective braking and acceleration capabilities, complementing existing organizational
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dedicated experiments (e.g., flares vs. chaff). Providing observational constraints on turbulence and thermal effects to improve the representation of microphysical processes in model simulations
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related field, and will have experience with one or more of the following: agent-based simulations, system dynamics, mathematical modelling, probability theory, risk assessment, R, python and GIS. Good
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) calculations, and developing coarse-grained models for large-scale atomic simulations. Profile Masters or equivalent degree in Physics, Chemistry, Materials Science, or related field Strong programming skills
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integrated into a simulation-optimization model for forest management, which will then be applied to case studies from local to regional scales. This will allow for assessing the importance of heterogeneity
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ML models on VLBI observations and analysis residuals Simulation of space geodetic observations using AI/ML Contributing to the integration of ML methodologies in the context of VGOS and the Genesis