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optimize large-scale distributed training frameworks (e.g., data parallelism, tensor parallelism, pipeline parallelism). Develop high-performance inference engines, improving latency, throughput, and memory
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, and digital forensics Programming languages and distributed and parallel computing Data science and machine learning EEO Statement: Hofstra University is an equal opportunity employer and is committed
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Your Job: Agile development, maintenance, coordination, testing, distribution and deployment of the open-source, community-driven Elephant neural data analysis software - https://python-elephant.org
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toolchains Familiarity with distributed training/inference, AI system bottlenecks, and performance tuning Prior experience with cloud computing and AI system deployment in production settings
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results are aggregated into an overlapping generations (OLG) model for longer-term dynamic forecasting and distributional analysis. Models are frequently updated to reflect the latest economics and
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. The department’s 26 tenured/tenure-track faculty conduct state-of-the-art research in topics including artificial intelligence, cybersecurity, distributed systems, and parallel and scientific computing, and engage
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parallel distribution strategy. Coordinate and manage Supply Chain related special projects with other stakeholders. This job requires an intricate attention to detail, focused & disciplined productivity
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of experience in job offered or in a related occupation. Position requires: 1. Linux system administration experience in a large distributed computing environment; 2. Providing systems and end-user support for
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) and/or cloud computing and/or similar areas of computing. Experience working with researchers/scholars. Experience and proficiency with storage systems, especially parallel and/or distributed storage
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, particularly in: MATLAB; Parallel and cloud computing; Graphical user interface (GUI) development Familiarity with: Statistical modeling techniques; Database management; Neuroimaging methods; Neurobiology