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                meritorious but not mandatory). Demonstrated expertise in image analysis, data science, or related computational research, with a strong track record in developing, applying, and supporting analytical methods 
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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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                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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                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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                taken a prominent role in international collaborations such as CETAF, DiSSCo, GBIF, FishBase, and CBOL. Data-driven life science (DDLS) uses data, computational methods and artificial intelligence 
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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