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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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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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infrastructure and research community, bringing together groundbreaking life science technologies with data and AI expertise. Computational methods and artificial intelligence applied to large-scale molecular data
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fellow in data-driven cell and molecular biology. For more information about us, please visit: DBB and MBW Data-driven life science (DDLS) uses data, computational methods and artificial intelligence
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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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technical expertise with advanced knowledge of translational medicine and molecular bioscience. SciLifeLab is a national resource hosted by Karolinska Institutet, KTH Royal Institute of Technology, Stockholm
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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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Experience A PhD in bioinformatics, computational biology, systems biology, or a related field, or equivalent scientific expertise Proficiency in Python and R, particularly for data analysis, visualization
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background: Degree in Bioinformatics, Computational Biology, Computer Science, or related field with demonstrated omics data experience Pipeline development: Proven experience building and maintaining omics
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Do you want to contribute to top quality medical research? Karolinska Institutet (KI) is recruiting researchers as part of the Data-Driven Life Sciences (DDLS) Fellows program. The successful