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data storage capacity to accelerate research in intensive computing and large-scale data analytics, commonly referred to as Big Data. This characteristic distinguishes the HPC center at the university
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Manage, manipulating and analysing large data sets Writing research results Other duties assigned Occasional Duties Mentor graduate and undergraduate students Required Education: Ph.D. in Environmental
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 13 hours ago
lifecycle (version control, documentation, and testing) Research experience with astronomical data analysis and large-scale astronomical survey datasets Special Physical/Mental Requirements Ability to sustain
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available within the Department of Medicine, Division of Endocrinology in the Laboratory of Brain Behavior and Big Data at the University of Southern California. The applicant with work with PI and
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(AIMBE) in 2024, and as a Fellow of the American Association for Dental, Oral, and Craniofacial Research (AADOCR) in 2025. Community Information Columbia offers small-town friendliness with big city
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. This position offers an exciting opportunity to work at the intersection of HPC and AI, addressing critical communication bottlenecks and optimizing network interconnects for large-scale distributed systems
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data storage capacity to accelerate research in intensive computing and large-scale data analytics, commonly referred to as Big Data. This characteristic distinguishes the HPC center at the university
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, epidemiology, biostatistics, genomics, big data analytics, or artificial intelligence analytics Be familiar with conducting analysis with different types of data, including metagenomics sequencing, genomics
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large-scale, custom-designed digital signal processing readout system for the ATLAS experiment located at the CERN laboratory in Switzerland. Develop a prototype hardware implementation of different
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innovative strategies to improve human health. HT is composed of five Centers: Neurogenomics, Computational Biology, Structural Biology, Genomics, and Health Data Science. The Centers work together to enable