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Gabriel Miguel Gomes Guerreiro is an Industrial PhD candidate at Siemens Gamesa, focusing on advanced topics related to wind power and digital technologies. His research interests involve the integration of digital twins in grid compliance for wind turbine subsystems, aligning with the global UN Sustainable Development Goals. Through his work, he aims to contribute to innovative solutions that enhance efficiency and sustainability in energy production. With a robust background in machine learning and data science, Gomes Guerreiro has developed expertise in utilizing these technologies to address complex challenges in the energy sector.
Siemens Gamesa • Kgs. Lyngby, Denmark
Engaged in research and development projects focused on digital solutions in wind energy.
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.