60 programming-"https:" "https:" "https:" "https:" "https:" "Data driven Materials Modeling" positions at Umeå University
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addition to your regular research context. Expected starting date is by agreement but no later than January 2027. Find more information about the Career Programme here: https://www.umu.se/en/umea-school
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of experimental spectroscopy or diffraction techniques such as XAS, XRD, FTIR, and XPS, of molecular modeling (MD/MC, DFT), and familiarity with basic programming (Python, MATLAB) and the use of Linux/HPC systems
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(or as otherwise agreed). A generous start-up package to support the establishment of the research program will be provided. Background Environmental Chemistry at the Department of Chemistry is an
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Programme, a new excellence initiative designed to strengthen research quality and international competitiveness. https://www.umu.se/en/northern-star/ As part of the Northern Star Fellows Programme, the
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educational programs, we are now seeking a postdoctoral researcher to work on privacy for data-driven models and high-dimensional data. The position is full-time for two years, starting on 8th January 2026
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Programme, a new excellence initiative designed to strengthen research quality and international competitiveness. https://www.umu.se/en/northern-star/ About the workplace The Faculty of Social Sciences
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environment including several research groups with extensive experience in virology, biochemistry, structural biology, cellbiology and imaging. Both the Umeå Core facility for Electron Microscopy (http
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this project. For more information see (https://lundmark-lab.se/ ) Work responsibilities Culturing and analysing mammalian cell models for infection Designing and developing infection models of flavivirus and
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submissions in clusters Further details The position is funded (Salary) via the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS; https://www.scilifelab.se/data-driven/ ), a 12-year
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credits). Practical experience of experimental spectroscopy or diffraction techniques such as XAS, XRD, FTIR, and XPS, of molecular modeling (MD/MC, DFT), and familiarity with basic programming (Python