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, bioinformatics, systems biology, bioengineering, chemical engineering, or a related discipline Knowledge and experience in the analysis of metagenomics, untargeted metabolomics, or other biological high-throughput
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and a proficient understanding of next generation sequencing, analysis, and bioinformatics), (3) project management and scientific writing experience, and (4) excellent communication skills and a
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broad range of molecular biology and bioinformatic infrastructure. Together Aarhus University makes a world-class research community with many international postdocs and students from all over the world
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, bioinformatics, production of genetically engineered animal models, single-cell profiling, and advanced image processing and analysis. In addition, numerous institutional shared resources and core facilities
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opportunities. What you'll bring Essential Hold a Ph.D. in a relevant field, such as Computational Biology, Bioinformatics, Machine Learning, Systems Biology, Genomics, or a related discipline or be in the final
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are required. Skills in molecular biology, tumor sample processing, functional assays, and genomics are highly relevant (experience in bioinformatics is valued as well). WashU Medicine is a top 10 medical school
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. Essential: Experience in sample preparation for cryoET studies and acquisition and analysis of cryo-EM data Knowledge of bioinformatics tools and data mining Good communication skills in English (oral/written
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iPSC culture and differentiation preferred Familiarity with single-cell RNA sequencing and bioinformatic analysis is an advantage Strong publication record in relevant areas is desirable Excellent
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analysis and bioinformatic methods Experience in enzyme immobilization Expertise within environmental science research and/or PFAS analysis Experience in bioprocess engineering Eager to work with master and
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/ Multi-Omics Data Integration Candidates with a strong background in bioinformatics, computational biology or epigenomics. Desirable experience includes single-cell and spatial omics analysis (scRNA-seq