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) for validating the NOSHAKE concept for forecasting induced seismicity as a result of fluid injection/extraction related to geothermal energy, geologic carbon storage and hydrogen storage. The position is related
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software. (0-35) Experience in the application of advanced machine learning techniques (e.g., graph neural networks, reinforcement learning, probabilistic models, or latent representations) to biomedical
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neuromorphic, stochastic, reservoir and probabilistic computing, and on the physical realization of probabilistic p-bits, laying the groundwork for future quantum-inspired computing concepts. Frontier research
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be in charge of finishing ongoing projects in the group, involving the development of probabilistic methods for the identification of non-coding cancer driver elements and of the tumor mode of growth
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implementing algorithms based on online Sparse Gaussian Processes and advanced probabilistic techniques enabling AUVs to dynamically alter their trajectories, cutting down on uncertainty and improving efficiency
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ecological models to quantify the role of abiotic and biotic filtering processes in regulating large-scale abyssal community assembly, and forecast how these relationships might change with climate change