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experience with 3D image processing, volumetric data analysis, optimization methods, statistical modeling, or machine learning for scientific applications. Prior experience with cryo-EM software frameworks
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Linköping Referensnummer IFM-2026-00054 Work assignments We are looking for a postdoc who is motivated not only by solving established problems, but by exploring new ways of formulating them
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in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses on methodological development in cryo
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23 Jan 2026 Job Information Organisation/Company IFM, Linköping University Research Field Physics » Other Researcher Profile Established Researcher (R3) Application Deadline 12 Feb 2026 - 12:00 (UTC
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15 Jan 2026 Job Information Organisation/Company IFM, Linköping University Department IFM Researcher Profile Established Researcher (R3) Application Deadline 4 Feb 2026 - 12:00 (UTC) Country Sweden
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in clinically relevant environments. Key work assignments include: Design, fabrication, and optimization of high-performance plasmonic nanostructures and SERS substrates for sensing in complex
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optimization of the advanced spectromicroscopy systems at the MAXPEEM beamline. Provide high-level experimental support and technical guidance to international visiting researchers (beamtime users). Research