60 postdoctoral-image-processing-in-computer-science-"EPIC" positions at SciLifeLab in Sweden
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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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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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biology, protein engineering, biochemistry. Optical engineering, fluorescence microscopy, image analysis: Development of microscopes and data analysis pipelines used to acquire and quantify high-throughput
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bioinformatic methods to detect environmental adaptation. The methods will be tested using simulations of genomic data. The work consists of working in Uppsala University’s computer cluster as well as programming
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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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on understanding the role of protein dynamics in this process. Main responsibilities You will work together with structural biologists and computational chemists, primarily carrying out molecular simulations
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postdoctoral researcher with expertise in antibody technology. The goal is to develop new therapeutic antibodies that can enhance antigen uptake and T cell activation in tumors, and to assess their functional
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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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Uppsala University, Disciplinary Domain of Science and Technology, Faculty of Chemistry, Department of Chemistry – BMC Postdoctoral position in Biochemistry The Department of Chemistry – BMC is
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the national infrastructure network SciLifeLab for Cryo-EM and cellular volume imaging, providing “state of the art” technology access for this project. Cryo electron microscopy (cryo-EM) methods provide