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Your research will be conducted at the Department of Urology, the Department of Pathology and Clinical Bioinformatics at Erasmus MC in Rotterdam, and in collaboration with the Computational
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of research computing at LSE. Your expertise will be key in future-proofing our research hardware environment, ensuring high availability, scalability and security across HPC clusters; GPU acceleration, high
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of Machine Learning (ML) models across large-scale distributed systems. Leveraging advanced AI and distributed computing strategies, this project focuses on deploying ML models on real-world distributed
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challenge. This project will explore how reconfigurable computing devices can be integrated into large-scale heterogeneous infrastructures, which include CPUs, GPUs, DPUs, and others. The research will focus
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The Department of Computing wishes to recruit a Cloud and GPU Infrastructure Manager to be responsible for the administration, maintenance, and optimization of both our internal GPU infrastructure
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anesthesia care, such as PICC line placements, lumbar puncture, IT chemo, bone marrow aspirates, sedated hearing tests, and phlebotomy. Additionally, the GPU is home to the GI Division's Motility program
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://careers.temple.edu/sites/careers/files/documents/T_Salary_Structure.pdf Position Summary: The Research Engineer will be responsible for the smooth operation of the VIDAR Lab hardware and software stacks, including GPU
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About us The UCL Centre for Advanced Research Computing (ARC) is UCL’s new institute for infrastructure and innovation in digital research - the supercomputers, data-sets, software and people
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-on experience in managing lab operations involving equipment operations and maintenance, procurement, safety and asset management. Experience in managing GPU servers / computing hardware will be advantageous
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Research Framework Programme? Horizon Europe Is the Job related to staff position within a Research Infrastructure? No Offer Description Investigación en desarrollos orientados al aprendizaje federado