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opportunity to drive service excellence in support of world-class AI research and innovation. The full job description is available at https://www.mghpcc.org/job-opportunities/ Job Requirements REQUIRED
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team delivering critical infrastructure to some of the nation’s leading AI researchers. The full job description is available at https://www.mghpcc.org/job-opportunities/ Job Requirements REQUIRED
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staff to carry out activities related to research lines or scientific-technical services Ref. Interna M2832-7528 PID2021-122392OB-I00 Call for selection of research asistants https://sede.urjc.es/tablon
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to apply; we value employees with a willingness to learn. Understanding of technologies employed in research in higher education Familiarity with distributed computation solutions Familiarity with GPU
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these resources through a cloud-native Kubernetes environment integrating large-scale CPU and GPU resources, Ceph object storage, BinderHub, Coffea-Casa, Dask, and ServiceX. This platform supports more than 500
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community. We are committed to excellence, providing unparalleled expertise, and maintaining a world-class standard in service. Please visit us at: https://fs.ucf.edu/ or Facebook and Instagram: UCF
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well as experience working with large biological datasets in scalable GPU-based computing environments. What we provide: A competitive compensation package, with comprehensive health and welfare benefits. A supportive
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economics. More information may be found at https://www.uta.edu/academics/schools-colleges/business/departments/economics College of Liberal Arts: All areas of Liberal Arts will be considered, including
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. Additional languages or experience with libraries for utilizing GPU hardware efficiently, e.g., CUDA, are a plus. Experience in AI programming with, e.g., PyTorch(-DDP), Horovod, or DeepSpeed, and in
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Engineers. Serve as liaison with Princeton Research Computing staff on GPU cluster related issues. Professional Development Learn the underlying science, mathematics, statistics, data analysis, and algorithms