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North Carolina A&T State University | Greensboro, North Carolina | United States | about 1 month ago
Environmental Sciences (CAES) has a rich history of innovation and application of cutting-edge technology. From our pioneering Laboratory Animal Science and Landscape Architecture programs to our award-winning
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Application Further information on the posts and the University is available at http://www.cityu.edu.hk , or from the Department of Architecture and Civil Engineering, City University of Hong Kong, Tat Chee
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and curate software, datasets, and other resources for the community. Collaborate on the design, implementation, and refinement of tools for formal mathematics. Foster connections across disciplines
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Inria, the French national research institute for the digital sciences | Talence, Aquitaine | France | 3 months ago
Master's degree, Engineer's degree, or PhD in computer science to join a team responsible for the packaging, deployment, and testing of software libraries for high-performance computing (HPC). This position
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of a vision transformer, U-Net architecture, or Diffusion model that you trained yourself. Projects in computer vision for microscopy image analysis are especially relevant. Include a link to a code
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are programmed. This includes defining novel programming methods and compiler infrastructures to deploy optimized software onto heterogeneous computing systems in both the embedded and high-performance computing
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. Learn more about Sandia at: http://www.sandia.gov *These benefits vary by job classification. What Your Job Will Be Like: Sandia provides systems, science, and technology solutions to meet national
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architectures. This includes among other: (a) design and implementation of machine learning and GenAI models, (b) efficient training and inference on GPU-based systems, (c) fine-tuning and optimization of large
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, Blockchain, Cloud Computing, Software Engineering, as well as Data Architecture & Engineering. In this role, the Teaching Faculty will report directly to the MGEN Executive Program Director. The selected
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. Describe a deep learning project you have executed—ideally a creative use of a vision transformer, U-Net architecture, or Diffusion model that you trained yourself. Projects in computer vision for microscopy