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will be a part of our team. The main work will be sample preparation for structural proteomics, i.e. wet lab work and mass spectrometry, followed by data analysis and visualization of data for users
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services can be found at: https://www.uu.se/forskning/snpseq and https://ngisweden.scilifelab.se/ We are proud to deliver high-quality data and are accredited by SWEDAC as a testing laboratory under the ISO
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, incorporating their own ideas and experience in computer vision, machine learning, and related fields, to further visualization and interpretation of molecular images. Our research environment focuses
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other omics data Specialized skills: Proven track record in analyzing affinity proteomics data (e.g., Olink, SomaScan, Luminex,Quanterix). Experience with data visualization tools (e.g., ggplot2, seaborn
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or senior staff scientist. More information: https://www.scilifelab.se/researchers/simon-koplev/ Qualifications Requirements A doctoral degree or an equivalent foreign degree. This eligibility requirement
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are looking to fill the position as DDLS fellow in Data-driven precision medicine and diagnostics. Data-driven precision medicine and diagnostics cover data integration, analysis, visualization, and data