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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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-related research experience in multi-omics data integration and statistical modelling familiarity with machine learning methods for biological data experience in data visualization or development of user
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), document management, and KPI visualization. Developing and supporting internal systems, including LIMS (Laboratory Information Management System) and existing DevOps solutions (e.g., Ansible, GitLab
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. The Assistant Professor is expected to contribute to teaching and program and course development in bioinformatics, data visualization, machine learning, biological statistics, and statistical and
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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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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