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mechanics, numerical methods, microstructural mechanics, structural optimization, and experimental methods. The department also has strong activity in X-ray and neutron methods for materials research. Project
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. Project overview The postdoctoral researcher will develop and evaluate methods for recycling spent sodium-ion batteries. The work will involve experimental research in aqueous chemistry, with particular
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and fermion quadrupling condensates, the project is a part of a large theory-experiment collaboration https://kaw.wallenberg.org/nytt-materietillstand-med-unika-egenskaper An example of one
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-of-computing-science/ Project description and working tasks The project will develop privacy-aware machine learning (ML) models. We are interested in data-driven models for complex data, including high
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-future-green-electronics , https://c3nit.se/ Subject description The subject of this project is to develop novel ultra-wide bandgap semiconductor technology based on AlN and related alloys. This includes
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researchers, are top-ranked internationally. Work description The employment mainly comprises research in the intersection of Generative AI and software engineering, within the scope of the research project
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pedagogy, contributing to the development of the research environment and conducting educational development activities such as teaching. Teaching may be up to 20% of employment. You will submit a project
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application! Work assignments As a postdoctoral fellow, your main task will be to conduct cutting edge computational social science research. The research will be carried out within the context of the Swedish
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application! Work assignments As a postdoctoral fellow, your main task will be to conduct cutting edge computational social science research. The research will be carried out within the context of the Swedish
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national and European projects that focus on both fundamental and applied research. The Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) addresses data-driven methods to gain