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NEST project RAM³, which aims to enable the use of recycled aluminium in high-performance applications through machine learning, computer vision, and materials science. The focus of this position is on
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applications supporting AR/VR/XR in the context of climate change and sustainability. Duties As a PhD student you are expected to perform both experimental and theoretical work within your research studies as
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applications supporting AR/VR/XR in the context of climate change and sustainability. Duties As a PhD student you are expected to perform both experimental and theoretical work within your research studies as
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Join us for an exciting and excellent PhD journey! Everyday user behaviour may affect the environmental performance of household appliances, yet it is often overlooked in environmental assessments
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Implement advanced numerical concepts and material models to describe damage initiation and progression in a multi-phase microstructure Use the numerical framework to perform numerical studies generating new
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safety. You will work on developing control algorithms all the way to performance assessment in test vehicles. The project combines theoretical aspects of control algorithms, experimental design, and
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development and analysis in other projects within the department. Your tasks include collaborating with colleagues and stakeholders in the design and validation of tools, performing data and literature analysis
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network. This project aims to develop skills for an autonomous mobile robot to perform complex manipulation tasks. Our goal is to enable continuous learning, allowing the robot to improve over time by
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' undergraduate level or performing other duties corresponding to 20 percent of working hours Contract terms The PhD positions are fully funded from start. The position is limited to four years, with
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strategies. Explore the technical, on-site, and managerial innovations and tools needed for contextualizing this ontology in Sweden. Perform action research and case studies in construction sites