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community by building, integrating, and maintaining Linux-based resources, high-performance computing cluster systems, and Kubernetes clusters. This role provides extensive expertise in High Performance
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will implement several novel capabilities geared toward efficiency and high fidelity. Ultimately, they will be used for cutting-edge demonstrations of quantum computing applications. You will: Design and
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to improve genome assembly methods and performance. Provide technical input to implement new sequence analysis pipelines. Produce high-quality documentation for newly developed software and analytical
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documents into appropriate structures for efficient training, establishing evaluation metrics to validate model performance, and improving the fine-tuning process with additional reinforcement learning steps
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, supporting the operation and evolution of an advanced platform that integrates cloud-native software, on-premise hardware, and high-performance computing hosted in National Lab data centers. This role is
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to the world. Join our team and YOU will play a supporting role in our goal to address global challenges! Have a high level of impact and work for an organization associated with 17 Nobel Prizes! Why join
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funding proposals. Supervise or mentor students, postdocs, and colleagues as appropriate. Perform all responsibilities with a high level of independence, professional judgment, and initiative. We
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applications including high-throughput microscopy, materials growth for superconducting qubits and quantum materials. Initial projects will include hardware and software development for an AI-driven closed-loop
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sequences of operation into the program languages of the Automated Logic (ALC) or Johnson Controls Metasys controls systems or other industry standard systems. Possesses a working knowledge of computerized