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evaluation, or a strong willingness to gain hands-on experience. Eagerness to learn HPC concepts, including parallel computing, distributed systems, and optimization. Analytical skills, problem-solving
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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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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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are conducted in compliance with BSA’s Prime Contract, applicable statutes and regulations, and in accordance with the highest ethics and standards. Oversight of BNL Property Management Program to effectively
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Research Services Professional (Intermediate). This part-time, University Staff (non-classified) position will be responsible for managing program administration, logistical support, and financial management
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the management of national and campus-level high-performance computing (HPC) clusters and their associated storage systems, including large parallel file systems, NFS file servers, and underlying storage