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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 3 months ago
beautiful campus, world-class medical care, commitment to the arts and top athletic programs, Carolina is an ideal place to teach, work and learn. One of the best college towns and best places to live in
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/technical programs and university-parallel/college transfer programs. Central Virginia Community College is seeking qualified individuals to serve as adjunct faculty in the Arts and Sciences Division
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-edge AI ready data management. We’re working on extending and maintaining the National Data Platform (https://nationaldataplatform.org/ ) and advanced data management software in the Science Data
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results. Machine Learning skills to automise comparison process. Unbiased approach to different theoretical models. Experience in HPC system usage and parallel/distributed computing. Knowledge in GPU-based
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hydrodynamics and/or N-body simulations in the star and planet formation context Experience in the field with HPC system usage and parallel/distributed computing Knowledge in GPU-based programming would be
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distributed systems techniques. Proficiency in programming languages such as Python, C++, or similar, as well as experience with HPC environments and parallel computing. Demonstrated hands-on experience and
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developing parallel/scalable uncertainty visualization algorithms using HPC resources. Collaboration with domain scientists for demonstration and validation of results. Deliver ORNL’s mission by aligning
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experience (3+ years) with remote sensing, including satellite imagery processing and analysis, GIS, and geospatial computing ● Strong general computational skills and advanced proficiency programming in
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Stanford's Graduate School of Business (GSB) has built a global reputation based on its immersive and innovative management programs. We provide students a transformative leadership experience
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Reference Number AE2025-0533 Is the Job related to staff position within a Research Infrastructure? No Offer Description Portuguese version: https://repositorio.inesctec.pt/editais/pt/AE2025-0533.pdf JOB