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networks, RNNs, LLMs) or in the deployment of such algorithms. Experience with specialized computational architectures such as GPUs, FPGAs, neuromorphic processors, or machine learning accelerators
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sense of community & inclusion Enjoy a career that makes a difference by collaborating & learning from the best At UNSW, we pride ourselves on being a workplace where the best people come to do their best
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, criminal justice and energy grid reliability, as well as to materials science and computer vision. The candidate will join a highly dynamic team of researchers that spans across different departments at Duke
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the simulation of turbulent flows using a tensor network representation of the Navier–Stokes equations. Unlike recent approaches based on tensor networks, which simulate fluid flows in physical space using finite
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | 2 months ago
, expertise, and powerful computational resources (GPUs & CPUs) of the team. This PhD position is fully funded within the framework of RoGSiLT: Robust and Generalizable Sign Language Translation , a
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to the continuous improvement of research support services across the faculty. This position offers the opportunity to work on a diverse range of technologies, from Linux systems administration and networking to GPU
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School's faculty has combined a passion for teaching with rigorous research conducted alongside practitioners at world-leading organizations to educate leaders who make a difference in the world. Through a
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, from Linux systems administration and networking to GPU infrastructure, research computing, and AI platforms. You will have ample opportunities to develop your expertise while contributing directly to
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electromagnetic transient (EMT) simulations, high-fidelity dynamic and transient power electronics resources modeling, explore different intelligence algorithms to enhance ease of usage of simulations, and
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atmospheric modeling, artificial intelligence, and near real-time applications. The successful candidates will contribute to the development of high-performance and GPU-enabled modeling tools for wildfire