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, MATLAB, Git, debugging, and modern software engineering practices. Experience with GPU computing (e.g., CUDA, HIP), parallel computing (e.g., MPI, Actor Model). Familiarity with containerization (e.g
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generative design tools such as HEEDS, and/or the Dakota or RAVEN uncertainty quantification tools. Experience with FORTRAN, C, and/or C++ applied programming. Knowledge of Python, Java, or other scripting
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. Experience with performance tuning and benchmarking tools for HPC environments (e.g., Ganglia, Grafana, or similar). Experience with parallel programming frameworks (e.g., MPI, OpenMP, CUDA) and high
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models using software such as GAMS and Python. Econometric modeling skills using statistical software (e.g., Limdep, Stata, EViews or R). Strong programming skills with R and Python. Excellent oral and
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clustered computing and HPC groups to help research programs identify the best solutions for their needs. When we build our customer's environments, our team collaborates to design, implement, and maintain
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. Experience with performance tuning and benchmarking tools for HPC environments (e.g., Ganglia, Grafana, or similar). Experience with parallel programming frameworks (e.g., MPI, OpenMP, CUDA) and high
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completed within the last 5 years in computer science, data science or a discipline related to the job duties. Experience in parallel computing. Experience with storage systems. Previous research experience
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opportunity to work on some of the most challenging and impactful research and development programs in healthcare informatics, bioinformatics, high performance computing and deep learning. The candidate will
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simulations to elucidate the equilibrium/non-equilibrium dynamics. Independently plan and conduct simulations and work with experimentalists to help interpret SANS results and understand structural/dynamic
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carbon fiber laminates. Experience in multiphysics modeling. Experience in parallel programming on large-scale computational clusters. Expertise in Matlab programming. Expertise in structural dynamics and