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addition to software development/application, you will also engage with the broader community of industry, national labs, and academic partners to understand and advance the state-of-the-art in CFD applications and work
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addition to software development/application, you will also engage with the broader community of industry, national labs, and academic partners to understand and advance the state-of-the-art in CFD applications and work
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addition to software development/application, you will also engage with the broader community of industry, national labs, and academic partners to understand and advance the state-of-the-art in CFD applications and work
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a focus on multimodal learning, computer vision, and scientific machine learning Develop novel algorithms and architectures for tasks such as multimodal retrieval, reasoning over complex data, and
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control. Major Duties/Responsibilities: Develop electromagnetic transient models for bulk power systems, synchronous generators, large loads, etc. Develop simulation algorithms that enable large-scale
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Experiences building satellite imagery preprocessing workflows Experience using Python or other programming languages to develop AI algorithms in PyTorch computing framework Preferred Qualifications: Experience
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participation in workshops, as well as other program development activities Develop new engineering algorithms and/or write components of new software tools Co-author and contribute to various proposals/grants
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research staff and postdoctoral researchers in developing and evaluating transformative technologies for future leadership computing systems. This position is part of the Advanced Technologies Section within
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, profile, and tune first principles materials applications for high performance Adapt, develop, and publish applications and algorithms that scale to OLCF computers Apply and improve advanced computational
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state-of-the-art high-performance computing. Key Research Areas: AI for Science: Research and development of large-scale AI models for science, focusing on pre-training, instruction-based fine-tuning, and