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Marco Biemann is a postdoctoral researcher with extensive experience in Dynamical Systems. He is involved in research activities that contribute to the United Nations Sustainable Development Goals, focusing on global challenges such as poverty alleviation and environmental protection. Biemann's work encompasses reinforcement learning applications in autonomous building energy management and other innovative projects aimed at advancing sustainable practices. Over the last five years, he has collaborated on multiple projects, highlighting his expertise in data-driven insights and energy management systems.
Technical University of Denmark • Kgs. Lyngby, Denmark
Conducting research in Dynamical Systems and contributing to projects focused on sustainable energy management.
This requirement applies generally across Technical University of Denmark (DTU) MSc programs including Computer Science, Applied Mathematics, and Engineering disciplines. Specific prerequisites vary by department/curriculum.