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publication/s as first author and/or presentations at scientific conferences and meetings. Knowledge of applied statistics, including ANOVA. Programing in R. Our offer We offer an international, highly
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). Mathematics: Statistical Learning, Stochastic Processes (e.g., Percolation Theory, Queuing Theory, Age of Information), Network Calculus, Graph Theory, Convex and Non-convex Optimization, Approximation
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programming (e.g., Python, C++, or similar) Experience with signal processing, machine learning frameworks, or statistical modeling Academic Background: A Master’s degree in Computer Science, Electrical
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services. Develop your skills in spatial data analysis and statistics while working with diverse datasets to uncover important biophysical and socio-economic patterns. Be part of interdisciplinary