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, scoring functions, predictive models or quantum chemistry Machine learning or AI frameworks applied to molecular discovery. Familiarity with cloud or high-performance computing environments. Experience
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computing and cloud-based infrastructure. A state-of-the-art UW Fiber Lab for DAS data and Pacific Northwest Seismic Network specialists in multi-sensor networks An working environment with a commitment to
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. Curate, process, and quality-control large-scale germline and somatic sequencing data (e.g., WES, WGS, panel-based assays) using standard HPC pipelines and cloud-based systems. Compose, implement or refine
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science teams Experience with scientific computing and numerical libraries; database design and management (SQL/NoSQL), data catalogs, or research data repositories; and cloud platforms and containerization
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and ~30% FTE between grant funded scholarship. Teaching roles are envisioned to include guest lectures and seminars, as well as advising biomedical informatics graduate students and postdocs. Research
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 4 days 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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computing, cloud computing, data streaming, remote execution, agentic programing, and NLP interfaces. Areas of application for these methods include: geosciences (environmental, climate, atmospheric
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Code Computer Employee Patient Sensitive Job Code? No Standard Hours per Week 40 Full Time or Part Time? Full Time Shift Day Work Schedule Summary VP Area Academic Affairs Department 00810 - Scient Comp
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reproducibility. Maintain and document computational workflows, pipelines, and databases to ensure scalability and accessibility. Support and mentor junior bioinformatics staff, graduate students, and postdocs as
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high-performance or cloud computing (Slurm, AWS, GCP). Technical Knowledge or Skills: Background in high-dimensional or spatial statistics. Familiarity with tidyverse, Bioconductor, scikit-learn, and