57 parallel-and-distributed-computing-"UNIS"-"Meta"-"Humboldt-Stiftung-Foundation" positions
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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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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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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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, 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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they are recognized in ways that are meaningful to them and in alignment with institutional recognition guidelines Plan, implement, and manage a comprehensive donor recognition and stewardship program in parallel with
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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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innovation into practice. SDSC adopts and partners on innovations in industry and academia in the areas of software, hardware, computational and data sciences, and related areas, and translates them
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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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, copyrighted, or biased. By studying brain data recordings and building computational models that mimic real populations of neurons, the project aims to uncover active unlearning: how the brain learns