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Details Posted: Unknown Location: Salary: Summary: Summary here. Details Posted: 14-May-25 Location: Philadelphia, Pennsylvania Type: Full-time Categories: Academic/Faculty Computer/Information
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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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to begin September 1, 2025. We will consider strong candidates in any research area but will prioritize Distributed and Parallel Computing. A PhD in computer science or a related area is required
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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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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
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algorithmic paradigms, such as machine learning algorithms, parallel algorithms, and distributed systems. Relevant certifications (e.g., Data Structures and Algorithms Specialization from Coursera, Google IT
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concepts, such as graph theory, greedy algorithms, divide and conquer, and backtracking. Knowledge of modern algorithmic paradigms, such as machine learning algorithms, parallel algorithms, and distributed