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laboratory at LHO. In parallel, the chosen candidate will assist in forging results of this R&D into a conceptual reference design, construction plan, and parametric cost estimate for CE. These will form
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clusters, including CPU and GPU architectures; Proficiency with job schedulers (e.g., Slurm); Knowledge of parallel and distributed computing principles; Understanding of data security and compliance
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parallel and distributed software applications. Identify, create, and disseminate basic and advanced student workflows. 6. Provide end-user computer support for high-end computing, labs, robotics lab, 3D
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detectors Experience in applying machine learning to scientific problems Experience in distributed computing, workflow management and/or data management software Experience in parallel programming and
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, United States of America Subject Area: Computer Science / All areas Appl Deadline: (posted 2024/11/02, listed until 2025/05/02) Position Description: Apply 2025/05/02 11:59PM Position Description The AI and Systems Co
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clusters, including CPU and GPU architectures; Proficiency with job schedulers (e.g., Slurm); Knowledge of parallel and distributed computing principles; Understanding of data security and compliance
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media, news media, digital signage, podcast, signature events, and executive presentations. This candidate must be comfortable managing multiple projects in parallel, many of which require the execution
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of the benefits plan annual review and renewal process. Processes enrollments, COBRA, terminations, changes, beneficiaries, disability, A&D and life claims, rollovers, distributions, loans, hardship withdrawals
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field or method, including, but not limited to, numerical methods, machine learning, or parallel and distributed computing. Expertise in a parallelization method (e.g., CUDA or ROCm, MPI, OpenMP
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: Candidates working in Computer Systems including Networking, Distributed and Parallel Computing, Edge and Cloud Computing, Cyber-Physical Systems, Internet of Things, Software Engineering, and related areas