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Field
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. Access an analytical ecosystem; cloud compute, engineering support, wet-lab validation pipelines, and established multi-omics workflows, allowing postdocs to focus on conceptual and scientific innovation
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Sciences or related field. 2. Experience analyzing genomic, transcriptomic, proteomic or metabolomic data. 3. Experience with R. 4. Computer skills, including cloud computing. 5. Statistical skills
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). Knowledge of high-performance computing or cloud environments for large-scale data. Strong collaboration skills and ability to work in interdisciplinary teams. Special Requirements: Applicants cannot have
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 8 hours ago
to high-impact, translational research infrastructure at the intersection of biomedical informatics, cloud computing, and AI. Minimum Education and Experience Requirements Ph.D. in Bioinformatics
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diverse academic backgrounds to contribute to our projects in areas such as: Network Security, Information Assurance, Model-driven Security, Cloud Computing, Cryptography, Satellite Systems, Vehicular
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Qualifications: Experience working with bacterial genomic data. Knowledge of bacterial genetics and evolution. Experience developing software tools for bioinformatics applications. Experience with cloud computing
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/interest with or prior experience working with NGS algorithms such as PLINK, or experience working in a cloud computing environment or UNIX/linux/HPC cluster. Department Contact for Questions Dr. Bohdan
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publications. Preferred qualifications • Expertise in remote sensing applications to aquatic biogeochemistry, ocean color, or optical water quality. • Proficiency with cloud computing and high-performance
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 6 days ago
cloud compute credits are available along with CPU/GPU nodes provided by the university. The expected outcomes of the position are: lead 1-2 major projects, contribute to other projects, collaborate with
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computing environments (e.g., Linux, cloud computing, cluster management). FLSA Exempt Full Time/Part Time Full Time Number of Hours Worked per Week 40 Job FTE 1.0 Work Calendar Fiscal Job Category Research