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processes to human health and ecosystems. As part of SciLifeLab , a unique nation-wide infrastructure and research community that combines advanced life science technologies with data and AI expertise
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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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processes to human health and ecosystems. As part of SciLifeLab , a unique nation-wide infrastructure and research community that combines advanced life science technologies with data and AI expertise
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, special attention will be given to research skills. Excellent command of English, both spoken and written, is required, as well as experience in delivering research presentations and documenting work
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processes to human health and ecosystems. As part of SciLifeLab, a unique nation-wide infrastructure and research community that combines advanced life science technologies with data and AI expertise
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research infrastructures SciLifeLab, Swedigarch and ArchLab. The Ancient DNA unit is in operation since 2019 and the interest in the unit’s services is large across Sweden and internationally. At the Ancient
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are transforming the study of biological systems at all levels, from molecular structures and cellular processes to human health and global ecosystems. SciLifeLab is scaling up its computational biology and data
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pipelines Construct web applications Software development, for example for quality control of data Automation of data and analysis flow Make sure analysis pipelines and tools are “state-of-the-art
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administrators. Each year, we process more than 60,000 samples and generate over 400 Terabases of data. More about our activities and services can be found at: https://www.uu.se/forskning/snpseq and https
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. Strong knowledge of container technology, such as Kubernetes and Docker. Strong development skills with knowledge of multiple languages. Good command of English, as it is required in daily work. Personal