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Peter Damaschke is a Full Professor of Data Science at Chalmers University, specializing in areas that bridge computer science and mathematics. His research interests lie prominently in Graph Theory and Combinatorial Search, where he explores the theoretical foundations and practical applications of algorithms and discrete optimization. He is known for his contributions to understanding complex problems through mathematical modeling and computational techniques. Additionally, he serves as a scientific advisor at the Fraunhofer-Chalmers Research Centre for Industrial Mathematics, collaborating on various interdisciplinary projects that leverage mathematical principles to address real-world challenges. His work aims to enhance efficiency and effectiveness in data-driven decision-making processes.
Chalmers University of Technology • Gothenburg, Sweden
Leading research in Data Science and computer science engineering.
General requirements apply to all departments listed at Chalmers. Specific departments like Architecture require a portfolio. Programs in Management/Economics do not strictly require GMAT/GRE but high academic standing is prioritized.