25 phd-architecture-and-urbanism PhD positions at Chalmers University of Technology in Sweden
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urban planning. Research environment This PhD position is part of the Sustainable Urban Water and Environmental Engineering (SUWEE) research area within the Department of Architecture and Civil
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of transport. The position will be placed at the Division of Applied Acoustics, Department of Architectural and Civil Engineering . As a PhD student, you will belong to the Graduate School of Applied Acoustics
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30 countries is widely recognized for excellent research and education. Our department is located in Sweden's second largest city Gothenburg - the world's most sustainable destination every year since
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employees from more than 30 countries is widely recognized for excellent research and education. Our department is located in Sweden's second largest city Gothenburg - the world's most sustainable destination
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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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PhD Position in Theoretical Machine Learning – Understanding Transformers through Information Theory
Join us for a fully funded PhD position in theoretical machine learning to uncover how and why transformers work. Explore their inner mechanisms using information theory. As part of this project
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for a PhD student focusing on future fuels and propulsion systems for the maritime sector. This is an opportunity for you to contribute to the development of techno-economic and environmental assessment
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technology, building physics, HVAC systems, computer science and control systems architecture, thereby advancing all disciplines involved. The project is a collaboration with Building Services Engineering
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reliable and stable grid operation in the future. The PhD project spans 4+x years (typically with departmental duties accounting for 0.5 to 1 year). Research environment This project is co-supervised by
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Chalmers' new research initiative Ocean is seeking a highly motivated PhD student in environmental analytical chemistry and machine learning. In this role, you will work with high-frequency