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-performance workstations, CPU/GPU clusters, and experimental systems tailored for fish and fly research. This role will necessarily involve both software development and software-hardware integration, with
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computing capabilities with an in-house cluster serving 80 CPU cores and 1.5TB of RAM, as well as a newly acquired NVIDIA DGX box with eight H100 GPUs and 224 CPU cores. We analyze large public datasets
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, superconductivity, cryogenics, or microwave electronics. Additional experience beyond the PhD is not required. US citizenship is not required. What we offer State of the art on-site high performance/GPU compute
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UK biobank data and human imaging would be desirable. The applicant should have proven programming experience including Python and R as well as using HPC and GPU environments. The post offers
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one of the most advanced computing infrastructures of any academic healthcare system in the world, with 264 graphics processing units (GPUs) and 168 GPUs in the cloud. In July 2025, Mayo Clinic
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data access. GPU Supercomputing: A GPU server with 8 × NVIDIA RTX A5000 GPUs and 1 TB RAM for machine learning and simulation tasks. External HPC Access: Professional support to obtain access to national
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experiments. Help manage and organize sizable machine learning training runs (100s – 1000s of GPUs) and computational experiments (petabytes of data). Communication Informally and formally communicate results
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& Development Labs are the backbone of the Institute, combining scientific excellence with real-world impact. They operate within a unique ecosystem that includes the AI Foundry (state-of-the-art GPUs and
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to leverage CPU and GPU cluster computing resources for large-scale image analysis. Train and mentor users on a variety of microscopy modalities, including confocal, STED, SIM, FLIM, TIRF, STORM, HCA, and
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fields. What we offer State of the art on-site high performance/GPU compute facilities A team of 30+ expert colleagues A family-friendly, green campus with on-site kindergarten Ample training