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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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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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, or a related field documented experience in analysis of next-generation sequencing data, preferably single-cell RNA-seq and/or other omics data documented skills in programming or scripting, for example
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(12):1741-1748. Duties The postdoctoral researcher will apply and develop computational methods for the analysis of whole-genome sequencing and other NGS-based data from patients, and will design
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(i) Geometry and computer vision (including analysis of video, audio, radio, and radar signals), (ii) Medical image analysis, and (iii) Machine learning/artificial intelligence. The group boasts
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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