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Petter Persson is a Doctoral student in the Department of Physics at Umeå University, involved with the UMIT Research Lab. His research focuses on innovative approaches to improve conditional generative adversarial networks, particularly for the inverse design of plasmonic nanostructures employing label projection and embedding methods. He is part of the Digital Physics research group, which aims to integrate digital tools and methodologies in the physical sciences. His academic contributions have been acknowledged in various conferences, including the prestigious CLEO/Europe European Quantum Electronics Conference.
Umeå University • Umeå, Sweden
Conducting research in the field of Digital Physics, focusing on advanced machine learning techniques.
Requirements are standard for Master's programs across Social Sciences and Humanities at Umeå. English 6 proficiency is the general rule.