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into maintainable, well-documented assets. You will report to the Director of Technology, Infrastructure and Support. What makes this fellowship distinctive You will help operate CAI's dedicated multi-GPU local AI
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University of North Carolina at Charlotte | Charlotte, North Carolina | United States | about 15 hours ago
supporting GPU computing environments, including NVIDIA drivers, CUDA, GPU scheduling, monitoring, and performance optimization; familiarity with AMD ROCm is desirable. Experience with container technologies
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of performance and power consumption. Design, model and evaluate new GPU architectures. Document, publish and present the results. Where to apply Website https://seuelectronica.upc.edu/en/procedures/call-for
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at https://postdoc.hms.harvard.edu/guidelines . With this appointment, you are represented by the Harvard Academic Workers (HAW) – UAW for purposes of collective bargaining and matters affecting your
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 8 days ago
perturbative matching. Experience with lattice QCD software frameworks (e.g., Chroma, QUDA, Grid) and GPU computing. Experience with statistical analysis of large Monte Carlo datasets, including inverse-problem
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on machine learning and networks, release the code in open access and actively participate in the international interpretability community. Where to apply Website https://seuelectronica.upc.edu/en/procedures
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, speech, and audio research, including Aalto University’s large-scale scientific computing cluster with CPU and GPU nodes, access to CSC’s national computing infrastructure including LUMI, and the Aalto
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or GPU computing environments. Familiarity with version control, containerization, and reproducible-research tooling. Preferred Competencies Work independently and collaboratively within a
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for deep learning, speech, and audio research, including Aalto University’s large-scale scientific computing cluster with CPU and GPU nodes, access to CSC’s national computing infrastructure including LUMI
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, with close interaction with bioinformatics, microbial ecology and experimental crop research at the UU and NOAH partners. You will have access to Utrecht University GPU/HPC infrastructure and large