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navigation, trajectory planning, and point cloud mapping; and (3) deploy the developed algorithms on a physical mobile robot operating in GPS-denied, low-light, and geometrically repetitive environments
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Requisition Id 16734 Overview: We are seeking Research Associates to advance, implement, and evaluate scalable quantum algorithms for material simulation. This work directly supports the 5-year
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, enhanced sampling, QM/MM) Experience improving performance and scalability of simulation workflows via: Parallelization and performance engineering GPU/accelerator optimization Algorithmic innovation
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, accessibility, and performance. Backend: Build and operate APIs, services, and data pipelines; optimize performance and reliability; integrate with storage and compute platforms. Full-Stack: Own features end
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, and Service. Promote equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success. Basic Qualifications: Ph.D. in materials science and
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-performance computing classified ecosystem. Major Duties and Responsibilities: Install, integrate, and administer Linux-based HPC clusters, storage systems, and high-speed networks. Monitor and optimize system
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maintain Windows server environments. Monitor and optimize system performance, ensuring uptime and reliability. Perform regular system updates, patches, and backups. STIG checking and systems compliance
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: Manage, configure, and maintain Windows server environments, including Active Directory, Group Policy, DNS, and DHCP. Monitor and optimize system performance, ensuring uptime and reliability. Perform
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., YAML/JSON), and implement robust logging, error handling, and checkpoint/retry strategies. Operational Reliability and Optimization: Diagnose job failures, mitigate bottlenecks, and improve throughput
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, machine behavior, and part performance Optimization of manufacturing processes for improved throughput, reliability, and quality You will contribute to the development of integrated data and AI workflows