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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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. The acquired and already existing database will be used to further develop ML models for the automated detection of clinically relevant markers. The goal is to develop the technique towards potential clinical
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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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modeling and synthetic community design. This work seeks to enhance the efficiency of anaerobic digestion, and advance technological innovations for the production of valuable bioproducts. EPFL is a public