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. field experiments and research stations across the country, as well as from environmental monitoring programs with associated national data hosting. SLU also engages in the Swedish Biodiversity Data
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evolution across different genomic regions by developing interpretable and efficient methods in comparative pangenomics, leveraging machine learning methods and statistical analysis (https://cgrlab.github.io
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previous work in proteomic studies. Knowledge in manual interpretation of MS spectra as well as programming/writing scripts is highly desirable and a merit. Knowledge in post-translational modifications
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area, from basic research to large-scale applied research, and close contacts with students through the department’s involvement in engineering and master’s programs. Our research and teaching are
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programming skills (e.g., Python) Previous experience with analyzing sequencing data Excellent communication abilities, and a collaborative mindset Meritorious for the position: Demonstrated work on developing
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. Active participation in major international consortia. Support for career development, conference travel, and long-term academic progression More information: https://www.scilifelab.se/researchers/simon