114 parallel-computing-numerical-methods-"https:" research jobs at Northeastern University
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-performance computing and/or large-scale data centers; Advanced experience with large-scale software development and support; Advanced knowledge of Linux kernel internals and systems programming methods
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About the Opportunity JOB SUMMARY The Blazek group performs research in cosmology, including both theoretical, observational, and numerical methods. We are involved in analysis of DES data and
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materials, supported by an NSF CMMI CDS&E award and industry-sponsored projects. The primary function of the position is to develop and cross-validate the experimental and numerical platforms of the
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using existing theories and methods. They will assist the supervisor in the interpretation and publication of results and grants. Furthermore, it is expected that they exercise functional supervision
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focus is on developing and applying first-principles-based and data-driven computational methods to understand multiscale processes and accelerate chemical discoveries for renewable energy
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seeking a highly motivated, experienced and enthusiastic Jr. Data Researcher with expertise in applying methods/frameworks/systems that apply ML&AI. The Jr. Data Researcher is expected to work as part of
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supervision of a senior scholar. Knowledge of commercial FEA package Abaqus and the programming language Python. The successful candidate will have a good knowledge of numerical implementation of
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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