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energy use and minimizing environmental impact. This collaborative effort brings together expertise in materials science, physics, polymer chemistry, and composite mechanics, with a particular emphasis on
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The Rantalainen group is focused on application of machine learning and AI for development and validation of predictive models for cancer precision medicine, with a particular focus computational pathology. Our
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intended support design decisions related to manufacturing and process parameter selections; known to influence the material microstructure. Duties: The post doc will develop and apply computational methods
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within material physics, primarily theory and modelling of atomically laminated materials. We will use open data bases and high-throughput simulations to explore a wide range of known and hypothetical 2D
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or the application process, please contact Sergej Moroz at sergej.moroz@kau.se. Application Materials Required: Further Info: Universitetsgatan 2, 65188 Karlstad, Sweden
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of Material and Computational Mechanics at the Department of Industrial and Materials Science . The work will be carried out in close collaboration with researchers from the Division of Microstructure Physics
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programme Is the Job related to staff position within a Research Infrastructure? No Offer Description The department conducts world-class research and education in both theoretical and experimental physics
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the forefront in atomic-level studies of atoms, molecules and condensed matter. This division includes the research programme Condensed Matter Physics of Energy Materials, with a special focus on
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We are looking to recruit a postdoc in the Electronic and Photonic Materials division in the Department of Physics, Chemistry and Biology (IFM) for research on the ultrafast optical spectroscopy
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of the work will be based on the data reduction framework scipp (https://scipp.github.io ). Requirements Applicants must hold a PhD in physics, materials, computational science, or a similar area of science and