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comprehensive analysis of complex imaging mass spectrometry datasets (e.g., MALDI-MSI, DESI-MSI) using established computational frameworks Develop and implement novel algorithms and visual analytics for spatial
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cellular processes to human health and global ecosystems. We are currently seeking a System administrator to support the operation and further development of our advanced computing and data infrastructure
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degree in bioinformatics, data science, computer science, scientific computing, or associated field Documented experience with AI methods for analysis of tabular dataset and image-based data including deep
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visualizations tailored to high-dimensional multi-modal spatial data. Qualification requirements Required Qualifications A PhD (or MSc with significant experience) in Bioinformatics, Computational Biology, Systems
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Computational Biology, Bioinformatics, Systems Biology, or a related field Proven methodological and research expertise Strong programming skills (Python, R, Bash or equivalent) for omics data processing, QC
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. You will also join the new Spatial Biology Computational Team (SBCT) at SciLifeLab. As a member of the SBCT team, you will play a key role in developing computational methods, analyzing complex datasets
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Bioinformatics, Computational Biology, Systems Biology, Computer Science, Biochemistry related to proteomics and mass spectrometry, or a related field. Strong Python and R skills for omics data processing, QC
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Do you want to contribute to top quality medical research? Computational methods and AI applied to large-scale molecular data are transforming biology – from molecular structures and cellular
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. Project description: DDLS Fellows Program Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels, from molecular
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, the Faculty of Science and the regional university healthcare, within a broad range of medical topics and disease areas, as well as cutting-edge infrastructures , high-capacity computational resources