664 parallel-computing-numerical-methods-"https:" positions at Northeastern University
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About the Opportunity Job Summary: The Associate Director of IT Infrastructure is responsible for supporting the comprehensive computing needs of the ECE department through providing hands-on
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PyTorch, including model training, fine-tuning, evaluation, and experimentation. Experience working in high-performance computing (HPC), distributed compute, or accelerated environments (GPUs, multi
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computing environments (e.g., GPU ‑ enabled systems, shared compute clusters). Working knowledge of database systems, including: Relational databases (e.g., PostgreSQL / SQL) Exposure to graph
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seeking an experienced and highly capable Jr. Data Scientist with expertise in applying methods/frameworks/systems that apply ML&AI. The Jr. Data Scientist will operate as part of a multi-disciplinary team
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, ongoing partnership with the Dean of US Degree Programs at Northeastern University London to ensure the degree functions as a genuine two-continent program rather than two parallel offerings. Coordinate
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University Seattle campus. Course topics include High-performance Computing, VLSI Design , Advanced Machine, Learning Combinatorial Optimization and Statistical Inference. Responsibilities include
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working on the command line, including in a Unix/Linux environment Familiarity with high-performance computing (HPC) and high-throughput computing (HTC) environments and job schedulers such as SLURM and
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principles associated with the emerging wave of Internet-connected things that are based on the physical environment. https://coe.northeastern.edu/academics-experiential-learning/academic-departments
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engineering, and operational AI systems. Candidates who can additionally bridge these disciplines into information security or cloud computing contexts are especially welcome. Qualified candidates must be
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, evaluation, and experimentation. Experience working in high-performance computing (HPC), distributed compute, or accelerated environments (GPUs, multi-node systems). Solid background in database systems