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microbial gene technology, bioinformatics and data analysis, food science and nutrition. The Faculty has a state-of-the-art infrastructure for research and education: A biorefinery lab, proteomics platform
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Australian Prostate Cancer Foundation (ACRF) Single Cell Proteomic Laboratory. The successful candidate should have a PhD in bioinformatics, computational biology, cancer genomics or a related field with
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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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the Gokcumen Laboratory (Department of Biological Sciences ), which focuses on evolutionary and bioinformatics approaches, to explore how lipid-related genes and necroptotic pathways have evolved across species
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Qualifications Minimum Qualifications: Education: A Ph.D. degree in a quantitative field such as statistics, biostatistics, bioinformatics, computational biology, human genetics, computer science, or a closely
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, including induced pluripotent stem cell (iPSC)-derived cells. Knowledge of advanced bioinformatics tools for DNA/RNA sequencing data analysis, functional annotation, and data visualization (preferred
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
research associate will perform these experiments, which will require expertise in mammalian tissue culture, molecular biology, bioinformatics, coding, and data analysis. They will additional train and
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cytometry, cell sorting, and immunophenotyping Hands-on experience with iPSC culture and differentiation preferred Familiarity with single-cell RNA sequencing and bioinformatic analysis is an advantage Strong
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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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staining) Bioinformatics experience relating to handling large datasets, such as next generation sequencing, and the use of programming languages such as R Attributes and Behaviour Essential Willingness