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investigates antimicrobial resistance (AMR) across the human-animal-environment interface and combines environmental microbiology, bioinformatics, molecular biology, and One Health approaches to identify
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continuous awareness of emerging advancements in bioinformatics, deep learning architectures, and healthcare data science. Collaborates with data scientists, machine learning engineers, and clinical partners
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will combine bioinformatics, genomics, genetics, and systems biology, with opportunities to use approaches including GWAS, Mendelian randomization, transcriptomics and multi-omics analyses alongside
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advertising a postdoctoral position for a researcher with expertise in statistics and bioinformatics to analyze these data. Subject area Neurochemistry Subject area description Neurochemistry is a branch of
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productivity through genome research. We function as a virtual institute to unite genome scientists with researchers in the field of genomics technology and bioinformatics science. The work we do will shape the
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productivity through genome research. We function as a virtual institute to unite genome scientists with researchers in the field of genomics technology and bioinformatics science. The work we do will shape the
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genome sequencing experiments and bioinformatics analysis. Maintain reproducible bioinformatics pipelines with GitHub integration. Mentor students and support student research projects. Write and publish
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 23 hours ago
., (2022) Cancers Regner M.J., et al., (2021) Molecular Cell Minimum Education and Experience Requirements PhD in molecular biology, cancer biology, or bioinformatics/computational biology or related
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U.S. DOE, designing bioinformatics tools for ‘big data’ analysis, developing and expanding high-throughput metagenomic tools and techniques such as microarrays, sequencing, and single-cell genomics to
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Americas. GPAP is developing a freely accessible platform combining advanced bioinformatics, AI agents and secure data collaboration to support infectious disease surveillance across human, animal and