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Associate Research Scientist / Post-Doctoral Associate in the Division of Science (Computer Science)
machine learning. The successful applicant will participate in research involving human computation, knowledge discovery, machine learning, and data science. The position will provide the opportunity
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 2 months ago
Pharmacology T32 Postdoctoral Training Program Vacancy ID PDS004510 Full-time/Part-time Full-Time Temporary Hours per week 40 FTE 1 Work Location Chapel Hill, NC Position Location North Carolina, US Hiring Range
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-time data acquisition and telemetry systems Familiarity with cloud computing platforms and edge deployment of ML models Experience with uncertainty quantification, sensitivity analysis, or robust
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National Aeronautics and Space Administration (NASA) | Pasadena, California | United States | 20 days ago
Postdoctoral Program website for application instructions and requirements: How to Apply | NASA Postdoctoral Program (orau.org) A complete application to the NASA Postdoctoral Program includes: Research proposal
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will support Prof. Yuping Zeng with the frontier of analog circuit design, implementation and characterization, preferably for neuromorphic computing with emerging devices. Major Responsibilities: Plays
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platform. The successful candidate will (1) integrate heterogeneous sensors and onboard computing hardware; (2) develop methods for LiDAR-based simultaneous localization and mapping (SLAM), autonomous
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cancer genomics resources and databases, including The Cancer Genome Atlas, cBioPortal, Genomic Data Commons, dbGaP, GEO, and related resources. Experience with high-performance computing, cloud-based
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). Practical experience with cloud computing platforms (e.g., AWS, GCP, Azure). Additional Qualifications Experience with multi-GPU model training and large-scale inference. Familiarity with modern AI
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, maintaining, and documenting open-source software tools or R packages Experience with geospatial analysis, environmental databases, and cloud or high-performance computing workflows Demonstrated record of peer
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to PhD level in an area related to Computer Science, the applicant will be proficient in software development, systems administration, networking and cloud. This is an invaluable opportunity to develop