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ability to comfortable processing these data using tools like Seurat, Scanpy, or QuPath. Proficiency in Python or R, coupled with familiarity with machinelearning frameworks (e.g., scikit‑learn, PyTorch
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in mouse models and cell cultures. Analyze and interpret omics data using bioinformatic pipelines in Python and R. Perform experiments in cell culture and animal models to validate the findings
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working knowledge analyzing forests, for example ecosystem growth rates, or population genetic structure. The post doc must be well versed in data analysis in R, including univariate and multivariate
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, initiative, and the capacity to work effectively in a team are essential. Prior experience with econometric software (e.g., Stata, R) and field surveys in developing countries will be considered an asset
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fluid dynamics and vascular modeling in microenvironments Skills in data analysis and image processing (e.g., Python, R, ImageJ) Ability to mentor junior researchers and contribute to team leadership What
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the research subject or equivalent competence. Solid programming skills in Python or R, especially for biological image data analysis and protein expression data visualization Excellent communication skills in
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://lnu.se/mot-linneuniversitetet/jobba-hos-oss/lediga-jobb/?rmpage=apply&r… Requirements Research FieldEngineeringYears of Research Experience4 - 10 Additional Information Work Location(s) Number of offers
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Research award. Please note that a valid identification must be presented at the time of the interview. Where to apply Website https://lnu.se/mot-linneuniversitetet/jobba-hos-oss/lediga-jobb/?rmpage=apply&r
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disciplines, including biomathematics, biostatistics, and molecular biology. The candidate is expected to have a solid grounding in programming in R, Python, and mathematics/statistics.The main duties involved
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and/or R). Meritorious (considered a plus): Experience with proteomics and mass spectrometry workflows. Knowledge of mitochondrial biology or metabolism. Experience with Drosophila and/or mice