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that will be affiliated with one of six possible multidisciplinary projects. The ideal postdocs will have expertise in some of the following areas: computational modeling, computational biology, computational
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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
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consist of research in forest products, with a focus on exploring how data can support the needs for wood material use in construction and furniture businesses. The research supports the forest and wood
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focus, with therapeutic strategies to be validated in patient material to ensure clinical relevance. For examples of how the research is conducted, see: https://www.tcr.lu.se/research-groups/immuno
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will join a multidisciplinary research program that combines experimental models, patient-derived materials, and advanced technologies to explore the mechanisms that preserve auditory system homeostasis
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material derived from ex vivo sources. Description of the workplace The Molecular Biophysics group is in the Department of Experimental Medical Science within Lund University Faculty of Medicine, and is led
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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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of organic semiconductor materials. Work assignments This project, funded by the Wallenberg Academy Fellows programme https://kaw.wallenberg.org/en/research/creating-greener-semiconductors , aims to provide a
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found at https://www.maxiv.lu.se/accelerators-beamlines/beamlines/flexpes/ This position is associated with the UHV surface & material science branch of the beamline, and is focused on the own research
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to increase catalyst activity and selectivity. The computational part of the project will investigate relevant reaction paths and evaluate spectroscopic signatures that can be compared to a parallel