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Field
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& Training, Network Programming (UDP/TCP/ZeroMQ), API Development, CUDA programming, python programming, Hardware Acceleration, strong verbal and written communication skills necessary for writing research
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National Energy Technology Laboratory (NETL) | Morgantown, West Virginia | United States | about 1 month ago
driving a transformative initiative to integrate Artificial Intelligence (AI) into scientific discovery, leveraging its capacity to accelerate complex physics-based modeling and analyze vast datasets
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in a multidisciplinary research environment. Preferred Experience Experience with MPW runs (e.g., AIM Photonics, GF Fotonix). Exposure to optical in-memory compute or optical AI accelerators
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from 1st of November 2026 or as soon as possible hereafter. About the project The position is affiliated with the Pioneer Center for Accelerating P2X Materials Discovery (CAPeX) and the section
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pride in being an inclusive community of outstanding learners, investigators, clinicians, and staff where interdisciplinary collaboration is embraced and great ideas accelerate translation of fundamental
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-learning architectures for sequential data (e.g., Transformers, graph neural networks, state-space models). Experience with OpenCV, GPU-accelerated inference, Docker, and modern software engineering
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pride in being an inclusive community of outstanding learners, investigators, clinicians, and staff where interdisciplinary collaboration is embraced and great ideas accelerate translation of fundamental
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pride in being an inclusive community of outstanding learners, investigators, clinicians, and staff where interdisciplinary collaboration is embraced and great ideas accelerate translation of fundamental
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://www.toyota-ti.ac.jp/Lab/kde/en/ [Work content and job description] You will engage in research on foundational technologies for pre-training, distillation, acceleration, and improvement, aiming
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closely together with researchers in (data-driven) sciences, industry and society to accelerate data-intensive scientific discovery. eSSENCE is a strategic collaborative research programme in e-science