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part of change Conception of novel stochastic source coding techniques based on channel simulation Development of numerical Python code for evaluation Optimization and refinement of these techniques in
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differing spatial resolutions. Using catchment-scale ecological and water quality data, the project aims to assess how abiotic drivers, biotic interactions, and stochastic processes jointly shape species
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: analysis of probabilistic systems (Markov decision processes, stochastic games, chemical reaction networks), automata theory and temporal logic, machine learning in verification, building model checkers
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