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exploring them. Basic data preprocessing, feature engineering, and model evaluation, or a strong willingness to gain hands-on experience. Eagerness to learn HPC concepts, including parallel computing
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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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with the architecture and performance characteristics of distributed computing and data handling systems. Extensive knowledge in computer science or related field, demonstrated through education or
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based on MPI. Experience working with the architecture and performance characteristics of distributed computing and data handling systems. Extensive knowledge in computer science or related field
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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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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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, multi-user software, and distributed or parallel computing is an asset. The ideal candidate should be well-versed with the fundamentals and state-of-the-art of EEG and MEG signal processing. Other
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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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. Documents requirements, defines scope and objectives, and formulates systems to parallel overall business strategies. Responsibilities Job Responsibilities: 1. Assists with program planning and implementation
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departmental website (Drupal.) 4. Support discipline specific software applications (AutoCAD, Powermill, distributed computing management, Rhino, Maya, Maxwell, and Revit); in addition, provide support for Yale