13 architecture-and-cities-planning PhD positions at Chalmers University of Technology
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Are you interested in doctoral research and acquiring exciting career opportunities, in academia and beyond? We now offer a PhD student position in architectural design and robotic 3D printing with
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and machine learning to tackle the complexity of force allocation and motion planning under uncertainty and actuator failures. The project combines theoretical research in stochastic optimal control
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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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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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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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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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PhD Position in Theoretical Machine Learning – Understanding Transformers through Information Theory
, you’ll also join WASP —Sweden’s largest individual research program ever, offering unparalleled resources, networking and career opportunities. Be part of shaping the future of AI! Project overview
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Technology (Maria Taljegård). Main responsibilities Plan and perform research under the guidance of supervisors Apply and develop energy- and environmental systems assessment methods and tools Collect and
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-fabrication processes for superconducting devices Automatic bring-up and calibration of quantum processors Design and simulation of quantum processors Optimal-control techniques for high-fidelity qubit