-
statistic skills, and advanced technical understanding Proactive and inquisitive personality, eager to exploring new approaches, self-motivated and team-oriented Excellent communication skills and a high
-
degree in Computer Science, Data Science, or a related technical field with strong foundations in machine learning OR Master's degree in Mathematics, Statistics, Physics, or other quantitative discipline
-
Administration, or a related field. Independence and high motivation for academic research in the group’s topics. Proficiency in empirical research methods, including statistics and data analysis, and the
-
with online newspapers and use social media data. Our research employs advanced statistical methods for causal inference and we develop state-of-the-art machine learning classifiers for both harmful and high
-
). Mathematics: Statistical Learning, Stochastic Processes (e.g., Percolation Theory, Queuing Theory, Age of Information), Network Calculus, Graph Theory, Convex and Non-convex Optimization, Approximation