293 evolution "https:" "https:" "https:" "https:" "https:" "University of St" Postdoctoral positions in Sweden
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degree, obtained within the last three years prior to the application deadline Experience of teaching at undergraduate or master’s level, and an interest in further development within teaching and
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to the application deadline What you will do In this poisition, you will be central to the development of the project, and also responsible for the implementation, validation and data analysis of the numerical tools
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-emitting devices and other advanced optoelectronic applications. The positions are based in the Green Nanodots Group (https://www.umu.se/en/research/groups/green-nanodots/ ), Department of Physics, Umeå
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chromatin conformation during wood development and drought stress in spruce/pine. - Building integrative analyses that link TE‑derived cis‑regulatory elements (TE‑CREs) to gene expression divergence within
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leading role in an interdisciplinary project developing advanced SERS-based diagnostic technologies for rapid detection and characterization of wound infections. The work combines materials development
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project developing advanced SERS-based diagnostic technologies for rapid detection and characterization of wound infections. The work combines materials development, spectroscopy, and biomedical validation
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of the European Partnership on Animal Health and Welfare (EUPHAW) and focuses on the development of methods to quantify and analyze behavior and welfare in dairy cattle using large-scale video and
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: Development of ML/DL methods for multi-omics data analysis. Design and implementation of computational tools and software for cancer risk prediction. This position offers the chance to engage in cutting‑edge
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collaboration meet. The research topics in the department span fundamental and applied research to contribute to the development of a sustainable society. We are Sweden's largest mathematical department, with
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targets the development of advanced grey-box modeling frameworks for multiphase flow systems, combining mechanistic, multi-scale flow models with data-driven inference and uncertainty quantification