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for visualization of scientific data. Currently, InfraVis employs over 50 experts across nine universities. CIPA is Lund University’s local infrastructure for image processing and analysis. CIPA is also the
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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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selection of visual work (PDF, maximum 10 pages, and maximum file size 10 mb) As part of the application process, you will also be asked to respond to written questions about your motivation for applying and
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. The candidate will apply and further develop computational workflows (e.g., R) for compound identification in complex matrices, with emphasis on R‑based data evaluation and visualization. The position also
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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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, with emphasis on R‑based data evaluation and visualization. The position also involves responsibility for the operation, maintenance, and development of LC-MS/MS and LC-HRMS instrumentation, including
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sample preparation for structural proteomics, i.e. wet lab work and mass spectrometry, followed by data analysis and visualization of data for users of the infrastructure. We envision that you will start
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and tissue culture. Molecular biology and immunohistochemistry. Image analysis, data visualization, or programming. The position is full-time and limited to 6 months. Application Your application should
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modelling familiarity with machine learning methods for biological data experience in data visualization or development of user-friendly tools for sharing biological data Consideration will also be given
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, implement, and maintain reproducible bioinformatics pipelines. The work may also include statistical analyses and data visualization to identify and interpret somatic mutational patterns and other genomic