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languages. Experience using parallel Linux computing platforms, parallel job submission scripts, common software repository tools, and parallel visualization software. Preferred Qualifications: Excellent
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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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, and management of HPC systems within a classified environment. We are looking for candidates with extensive experience in HPC architecture, cluster management, and parallel computing, with a proven
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application development in R and Python Experience with parallel computing Author or co-author of peer-reviewed literature publications Applicants cannot have received their Ph.D. more than five years before
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. Extensive experience with High Performance Parallel File Systems (Lustre, WEKA, GPFS, etc). Experience with performance and diagnostic tools for benchmarking, analysis and tuning of systems, networking, and
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, and management of HPC systems within a classified environment. We are looking for candidates with extensive experience in HPC architecture, cluster management, and parallel computing, with a proven
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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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conferences. Preferred Qualifications: Experience in developing and applying biostatistics, AI, and ML-based solutions to healthcare data. Experience developing parallel algorithms and scalable workflows
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) simulations or MD simulations based on DFT theory (e.g., Large-scale Atomic/Molecular Massively Parallel Simulator (LAMMPS)), Machine-Learning potentials development (e.g., TorchANI, DeepMD) Preferred
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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