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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
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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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eminent junior group leaders as DDLS Fellows, launch over 210 postdoctoral positions and establish a research school for 260 PhDs, within both academia and industry. The program is coordinated by SciLifeLab
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research school for 260 PhDs, including industry PhDs and postdocs. Fellows are recruited to the 11 participating host universities/organizations, but brought together under the DDLS program, which has four
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AI/ML-based discovery Contribute to multi-modal data integration Your profile MSc or PhD in Computational Biology, Bioinformatics, Systems Biology, or a related field Strong programming skills (Python
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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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General description of the DDLS Fellows programme Data-driven life science (DDLS) uses data, computational methods and artificial intelligence to study biological systems and processes at all levels
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are service-orientated, proactive, thorough and able to quickly find solutions to questions and problems. You enjoy managing multiple tasks in parallel and working independently, efficiently and in a
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developing data processing pipelines, such as Nextflow or similar systems. Computer clusters and distributed systems. Virtual environments, e.g., Docker or Apptainer. Methods for software deployment (e.g
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, distributed across 15 units at Uppsala University and the Swedish University of Agricultural Sciences (SLU). The central hub of this network is Navet, located at the Biomedical Centre (BMC), which serves as a