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machine learning for the next generation of AI models – uncertainty-aware foundation models, generative models and world models – with the support of competent and friendly colleagues in an international
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. Subject description Automatic Control comprises the analysis and synthesis of models and model-based algorithms for control, estimation, and monitoring of complex dynamic systems. Project description
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of Technology’s campus in Luleå. Subject description Automatic Control comprises the analysis and synthesis of models and model-based algorithms for control, estimation, and monitoring of complex dynamic systems
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towards a sustainable future. Subject description This project focuses on the development of GPU-accelerated, high-fidelity thermal runaway simulation models for lithium-ion battery cells, modules, packs
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collaboration with national and international partners. The experimental results will be used to develop improved models for void nucleation within continuum damage mechanics frameworks, suitable
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on various aspects along the battery value chain, ranging from synthesis, cell assembly, characterization, modeling to scaled-up manufacturing. The 2-year postdoc project Atomistic modelling and synthesis
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, cell assembly, characterization, modeling to scaled-up manufacturing. The 2-year postdoc project Micromechanical modelling and mechanical characterisation of contact, interfaces and fracture in solid
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chain, ranging from synthesis, cell assembly, characterization, modeling to scaled-up manufacturing. The 2-year postdoctoral project Machine Learning-based Electro-Chemo-Mechanical Estimation and Control
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insights for society. Along the way, you will contribute to both research and education. Using a combination of statistical models and optimal control to describe the settings and environment that trucks
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will contribute to both research and education. Using a combination of statistical models and optimal control to describe the settings and environment that trucks are operating in, and scale these models