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structures. Development of textiles as test instruments. Textile characterisation and studies of actuation. To participate in clinical studies and analyse the outcome through biomarkers, pain estimation scales
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Do you want to contribute to the future of AI-driven electric transport systems? Join our research group to develop advanced machine learning methods for electromobility, focusing on energy-aware
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description Work on EU projects to develop next‑generation transport, emission and health forecasting models by integrating deep learning, xAI, and diverse data sources such as traffic sensors, smart‑card data
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computational fracture mechanics. The experimental work involves developing new test geometries to study void nucleation under a wide range of stress states, using a combination of mechanical testing and advanced
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well as develop the methods and technical innovations that characterize a successful research environment. You will be part of the Virtual Engineering (VE) research environment at the Department of Engineering
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leap in the battery development is expected to be lithium solid-state batteries (SSB), allowing the replacement of the flammable organic electrolyte in Li-ion batteries with a safer and a more compact
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postdoctoral researcher in Complex Mobility Systems. The position is part of a Formas-funded project developing dynamic synthetic populations and mobility digital twins for resilient and equitable transport
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Do you want to use functional programming to find new ways to develop, test and formally verify software or hardware? Chalmers, with its world leading groups in functional programming and formal
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delves into software design concerns, focusing on the internal structure and evolution of AI-enabled components themselves, including the design of retrainable pipelines, model-wrapping services, LLM
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development and computational biology. The project will be conducted at the interphase between the National Genomics Infrastructure and the research groups of Professor Tuuli Lappalainen and Associate professor