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Field
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learning, AI engineering, AI infrastructure, hybrid cloud computing, and parallel programming with GPUs, to work at the Institute for Artificial Intelligence and Data Science (IAD). As a Senior Research
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, hybrid cloud computing, and parallel programming with GPUs. As a Junior Research Engineer, you should have some basic understanding and experience in the development of scalable AI systems and deployment
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intelligence (AI) and data science with core applications in the life sciences. This cluster hire is part of The University of Texas at Austin’s Cluster Hiring Program in AI and Data Analytics (AI DA
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conferences. Qualifications: PhD in computer science with file systems, GPU architecture experience. Proven ability to articulate research work and findings in peer-reviewed proceedings. Knowledge of systems
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 11 hours ago
support a rich array of outstanding health sciences research programs, centers, and resources. We will provide infrastructure and opportunities for collaboration among disciplines throughout and beyond our
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methodologies, including data and model parallelism. Proficiency in GPU programming and kernel-based programming for deep learning, including the ability to optimize deep learning algorithms at a low level, is a
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professional career afterward. The Radiation Oncology department has a CAMPEP approved Medical Physics certificate program. The postdoc fellow will have the option to enroll in the certificate program with
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Engineering Location Norman, OK, United States Open Date Feb 28, 2024 Description As part of its strategic plan, The University of Oklahoma (OU) continues to grow its Gallogly College of Engineering (GCoE). As
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DOE’s missions. This post-doc position presents a unique chance to conduct interdisciplinary collaborative research in BNL programs. Essential Duties And Responsibilities Conduct research in ML, LLMs
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mathematics, statistics). Solid programming skills and computer science knowledge. Familiar with deep learning libraries. Research experience and good publication track record in machine learning field