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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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. 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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more about the research group at https://pereiralab.com / We offer Lund University is a public authority which means that employees get particular benefits, generous annual leave and an advantageous
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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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, 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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, 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
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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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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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completed by the time the employment decision is made. Expertise in brain imaging, fluid biomarkers, neuropsychology, and statistical analysis/modeling. Expertise in visual evaluation of MRI, amyloid‑PET, and