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and in cell culture. Practical experience in programming with R. Practical experience in analytical methods including multiplex flow cytometry, as well as associated data analysis. Practical experience
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experience of programming and development of digital image analysis methods in the field of bioimage analysis is a requirement. Excellent communication in English, both written and spoken, is a requirement
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the Data-driven Life Science Fellows program. The group, led by Wei Ouyang, focuses on building AI systems for data-driven cell and molecular biology. We are seeking a postdoctoral researcher in cell biology
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experience in handling large metagenome datasets (first author publication/s in the topic are required). Relevant experience in R and/or python programming (eg. pipeline development for metagenomic data
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with the SciLifeLab and Wallenberg National Program for Data- Driven Life Science (DDLS; https://www.scilifelab.se/data-driven/ ), a 12-year initiative aimed at recruiting and training the next
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Computational Science or Data Science Compute-intensive Statistics or Applied Mathematics Proficiency in a relevant programming language, e.g., Matlab, Python, R, C/C++ is expected and practical or research
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. Preferred qualifications: Proven experience applying machine (deep) learning to imaging data. Strong programming skills, preferably in Python, and use of version control (Git/GitHub). Knowledge of open-source
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related field Proven methodological and research expertise Strong programming skills (Python, R, Bash or similar) for omics data processing, QC, statistical testing, and visualization to support biological
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Factory Service Hub is operated as a project under the Horizon Europe framework program and will include up to 50 AI experts and other staff working close to academic and industrial users across the EuroHPC
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other service environment with bioinformatics, genomics and interpretation of big data An advanced level of competence in the handling of common specialized bioinformatics tools and programs Intermediate