15 assistant-professor-computer-science-and-data Postdoctoral positions at Umeå University in Sweden
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. More information about the department is available at: https://www.umu.se/en/department-of-computing-science/ Is this interesting for you? We welcome your application until August 1, 2025. Project
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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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-leading research in several fields. Notably, the groundbreaking discovery of the CRISPR-Cas9 gene-editing tool, which was awarded the Nobel Prize in Chemistry, was made here. At Umeå University, everything
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Together with The Laboratory for Molecular Infection Medicine Sweden (MIMS) and the SciLifeLab & Wallenberg National Program for Data-Driven Life Science (DDLS) , Umeå University is looking
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the following fields: mathematics, physics, computational science, or engineering, and have a strong background in numerical analysis and scientific computing. Required qualifications include basic knowledge
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-leading research in several fields. Notably, the groundbreaking discovery of the CRISPR-Cas9 gene-editing tool, which was awarded the Nobel Prize in Chemistry, was made here. At Umeå University, everything
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Sociology offers undergraduate, graduate, and doctoral education in both sociology and library and information science. The department also contributes to several interdisciplinary programmes in collaboration
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radioisotopes to track sources and ages of different carbon components. The postdoc will lead the acquisition and analysis of aquatic water chemistry data, collected in different Arctic settings such as northern
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-leading research in several fields. Notably, the groundbreaking discovery of the CRISPR-Cas9 gene-editing tool, which was awarded the Nobel Prize in Chemistry, was made here. At Umeå University, everything
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of myocarditis through a systems medicine approach. By integrating data from genomics, virology, immunology, metabolomics, and microRNA analyses, all derived from well-characterized patient cohorts, we aim