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other activities to promote a strong multi-disciplinary and international network between PhD students, postdocs, researchers, and industry. This project is established in collaboration between LTU and
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biology, analytical chemistry, evolution, and data science. The workplace offers access to state-of-the-art core facilities for advanced microscopy and cytometry, cell and molecular biology, extracellular
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modelling. Experience in analysing ecological monitoring data (e.g. telemetry, diet and population datasets). Advanced programming skills (R, Python, or equivalent) and reproducible analytical workflows (e.g
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3 Apr 2026 Job Information Organisation/Company Linköpings universitet Research Field Engineering Researcher Profile Recognised Researcher (R2) Application Deadline 30 Apr 2026 - 12:00 (UTC) Country
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to reanalysis and model data. Explore and contribute new research ideas. Present results at conferences and meetings. Write manuscripts and publish papers in scientific journals. Supervise master’s and/or PhD
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modelling. Experience in analysing ecological monitoring data (e.g. telemetry, diet and population datasets). Advanced programming skills (R, Python, or equivalent) and reproducible analytical workflows (e.g
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performance should improve over time as more data becomes available. The diagnostic conclusions will be presented to an operator using a combination of AI-based fault isolation algorithms and data-driven
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to reanalysis and model data. Explore and contribute new research ideas. Present results at conferences and meetings. Write manuscripts and publish papers in scientific journals. Supervise master’s and/or PhD
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and transcriptomic data sets from pigs and their living environments. Publish findings in high-impact scientific journals and present results at conferences. Your profile Reguirements: PhD in animal
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, primarily pigs. Strong analytical skills, with experience from large scale data analysis from microbiome and resistome analyses. Experience from molecular biology work. Strong skills in bioinformatics