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international team, including research visits to UNIMORE. Contribute to translational research with applications in neural interfaces and therapies. This work will involve various materials and electrical
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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combine large-scale data, computational methods, and clearly articulated social-science theories to improve our understanding of society. Recent advances in machine learning, natural language processing
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Research area The position is located at the division of Communication and Transport Systems (KTS) at the department of Science and Technology, Campus Norrköping. The current position will be linked
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application! Work assignments Subject area: Computational studies of the influence of microstructural features on the structural integrity of metallic materials using machine learning Subject area description