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, and Data-driven evolution and biodiversity. For more information, see https://www.scilifelab.se/data-driven/ddls-research-school/ . What do we offer? A creative and inspiring environment full
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mid October this year. The project intended for the post-doc is part of a collaboration within my group on the Google Willow Chip project (https://www.bbc.co.uk/news/articles/cd7pwezyze1o) for which we
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support the operation and development of the Institute’s Linux-based compute infrastructure, including CPU and GPU clusters, storage systems, data centre hardware, networking interfaces, software
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yourself as an international expert in advanced ultrasound imaging and to contribute to technologies that may fundamentally change diagnostic imaging workflows. Where to apply Website https
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. Administration and Operations: Partner with IT teams to administer, configure, monitor, and maintain research computing environments, including IBM zSystems, Linux-based servers, GPU and accelerator resources
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responsible for: Conducting research on sustainable and resource-efficient AI systems for edge datacentres. Creating hardware-aware search spaces for CPUs, GPUs, and accelerators, and developing multi-objective
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University of North Carolina Wilmington | Wilmington, North Carolina | United States | about 1 month ago
Data Professional External Link to Posting https://jobs.uncw.edu/postings/40157 Vacancy Number E1578 Position Number 2086 Location of Workplace CMS Myrtle Grove Home Department Center for Marine Science
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, and administers CPU/GPU HPC clusters, including management and compute nodes, storage infrastructure, interconnects such as InfiniBand, and physical infrastructure in the datacenter and related systems
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Max-Planck-Institut für Struktur und Dynamik der Materie | Hamburg, Hamburg | Germany | 2 months ago
computing technologies and accelerator (GPU) computing. Familiarity with scientific software toolchains, including compilers, numerical libraries, parallel programming frameworks, and scientific software
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, applications, tools, and services for the broader research community to use data at scale to pursue scientific inquiry and accelerate discovery. Learn more at https://gdc.cancer.gov/, https://gen3.org/, https