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neural networks, including CNNs, GANs, transformers, and GNNs for urban science applications. Expertise in programming languages for software development and data management with proficiency in Python, SQL
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working with Infiniband and parallel filesystems (Lustre, GPFS) is a plus. Experience managing Linux/UNIX operating systems in a heterogeneous environment. Solid understanding of networked computing
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partner with ORNL research organizations to enable research excellence and delivery. We work with other clustered computing and HPC groups to help research programs identify the best solutions
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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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, 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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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