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develop and improve protein-glycan binding prediction models and use AI, data science, and bioinformatics to identify and design glycan-binding proteins with desired binding specificities. Qualifications
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and field conditions. The practical work also includes culturing oomycetes and plants, sampling for molecular and microbiome analysis as well as bioinformatic analysis of microbial communities
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of the major hubs for the national infrastructure SciLifeLab , which offers expertise and advanced technology platforms in the life sciences and bioinformatics. The department has its own computing cluster and
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on different projects related to biotechnological methods for producing recombinant silk proteins, characterization of these, spinning of fibers, protein engineering, material characterization and bioinformatics
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omics data. The candidate should develop, set up, maintain and update bioinformatics pipelines to integrate tumor data from different technologies (including genomics, transcriptomics and proteomics
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science capabilities and launching a major recruitment call for outstanding staff scientists in areas such as bioinformatics, data management, artificial intelligence and IT to join our national research
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in mouse models and cell cultures. Analyze and interpret omics data using bioinformatic pipelines in Python and R. Perform experiments in cell culture and animal models to validate the findings
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involves collecting clinical data on the effects of childhood cancer treatment, bioinformatically handling sequence data and developing prediction models, as well as conducting Single Cell RNASeq studies and
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-oriented candidates with strong experience in bioinformatics, data analyses for quantitative and population genetics, and genomics. To qualify, you should have a PhD degree in subjects relevant
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cytometry and RT-qPCR. The computational work includes, for example, the analysis of omics data and computational modeling. Experience in cell culture, molecular cloning, and bioinformatics analyses is