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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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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
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. Innovative visualization tools and highly automated analytical pipelines powered by GPU technology. Mentorship from experienced scientists in data analysis and management, with an expertise in delivering high
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GPU clusters and high-performance computing facilities to accelerate your research. Good transport links in a central location with a free job ticket as a contribution to climate protection Low-cost