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We are looking for a highly motivated, skilled, and persistent PhD student with experience in computational fluid dynamics (CFD) and some knowledge in structural analysis. The research aims
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for a PhD position that combines research in the field of intelligent mission planning and learning-based optimization with real-world applications, in collaboration with Volvo Group. This is an ideal
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, semiconductor technology and metrology that are part of the SWEET project. About us The position is hosted by the Microwave Electronics Laboratory at MC2 where the PhD student will have access to several
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Engineering and Autonomous Systems division . We offer advanced PhD courses where we extend the fundamentals in optimal control, machine learning, probability theory and similar. The research and learning
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, and society, both nationally and internationally. The PhD position is hosted in the Secura Lab, led by Assistant Professor Muoi Tran. Dedicated to advancing network security, Secura Lab develops
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in a dynamic and international atmosphere. We value diversity and welcome applicants from all backgrounds and identities. The Department of Electrical Engineering The division is part of the Department
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We are looking for a highly motivated PhD student to join the research group of Professor Christian Müller . The focus of the project is on understanding the mechanical properties of conjugated
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novel sustainable materials. This PhD project is a great opportunity to pursue pioneering research on the scale-up of circular, biobased material solutions for architectural applications in sustainable
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establish an adaptive multiscale platform where catalyst performance is computed from first principles. Contract terms and what we offer The PhD-positions are fully funded from start As a PhD student at
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PhD Position in Theoretical Machine Learning – Understanding Transformers through Information Theory
professors and a dynamic team of PhD students and postdocs working in areas such as wireless and optical communication, information security, information theory, and machine learning. At the department, we