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? experience as above in clinical NLP. Experience in CUDA GPU programming. Experience authoring open-source Python packages in PyPI. Experience in open-source project governance. Experience in open-source
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: Responsibilities: Provide computational support for structural biology research involving cryo-EM, X-ray crystallography, and molecular modeling. Maintain and manage specialized Linux-based GPU computing systems
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the climate crisis and create an environmentally sound future for generations to come. To learn more about SEAS and our values, please visit our website at https://seas.umich.edu/about/seas-values. Why Work
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on materials science tasks as well as integrate your semantic-AI services into high-throughput GPU/HPC workflows, contributing to data management, metadata structuring, and semantic annotation Collaborate with
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management, high-performance computing systems, GPU acceleration, and parallel file systems * Documented experience with container and cloud technologies such as Docker, Helm, and Kubernetes * Ability
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | 2 months ago
Engineer will support the development and operation of the GPU-accelerated, real-time data analysis pipelines that will turn images from the world’s largest digital camera into discoveries. Three years
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and high flexibility in where and when you work. Access to HPC resources (including GPU clusters) at Helmholtz, the Leibniz Supercomputing Centre (LRZ), and the Forschungszentrum Jülich (FZJ). Training
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of multimodal communication. To do so, you will have full access to motion-capture and virtual-reality labs, 3D animation tools, and GPU-based high-performance computing at MPI. You will also be embedded in a
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, GPUs, AI accelerators etc.) require high power demands with optimized power distribution networks (PDNs) to improve power efficiency and preserve power integrity. Integrated voltage regulators (IVRs
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: Applications accepted all year round Details In this project you will combine state of the art software development approaches for GPU programming with the study of interactions of high-energy particles with