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in bioinformatics, microbial ecology, plant-microbe interactions, or similar Collaborative skills and ability to participate actively in teams A fondness of taking the initiative and the motivation
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 days ago
sequencing, bioinformatics pipelines for viral genome assembly, and high-throughput diagnostic workflows. This project is particularly suited to candidates interested in the intersection of quantitative
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Bioinformatics, Computing/Programming, or a related discipline. Experience in using PMNN, ESM2 and RFdiffusion would be an advantage. The appointee will work in collaboration with research teams focusing
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, immunofluorescence staining of proteins of interest, molecular biology, single-cell mRNA and open chromatin sequencing, analysis of brain connectomes and bioinformatics. In compliance with NYC’s Pay Transparency Act
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with a main emphasis on genome assembly. The research group is part of the Algorithmic Bioinformatics lab at University of Helsinki. The amount of sequencing data has increased enormously during the last
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, including integration across multiple cohorts, devising workflows and strategies to plan genetic association studies. * Conducting bioinformatics and statistical analyses of high-throughput omics data
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intersection of AI, imaging technology, and oncological surgery. Ideal candidates will have: A Master's degree in artificial intelligence, bioinformatics, computer science, physics, mathematics, or a similar
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in bioinformatics, microbial ecology, plant-microbe interactions, or similar Collaborative skills and ability to participate actively in teams A fondness of taking the initiative and the motivation
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/bioinformatics, and data science. Work Performed · Work in highly collaborative inter-disciplinary environment with clinicians, econometricians, statisticians, and data scientists · Lead statistical analysis
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proteomic datasets, including integration across multiple cohorts, devising workflows and strategies to plan genetic association studies. ● Conducting bioinformatics and statistical analyses of high