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responses to environmental change. This position resides in the Ecosystem Processes Group in the Environmental Sciences Division at Oak Ridge National Laboratory (ORNL). The selected candidate will work with
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distributed codes using MPI, OpenMP, CUDA, ROCm, and related HPC technologies while bridging theoretical AI models with real hardware constraints. Cross‑Paradigm Integration(new optional emphasis): Explore how
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connected through a unified digital thread platform that captures multimodal, high-frequency data across the full manufacturing lifecycle, from process execution to post-process characterization
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(ESTD), at Oak Ridge National Laboratory (ORNL). Major Duties/Responsibilities: Design and install image-based and other sensing systems Develop data acquisition software for sensing systems Maintain and
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supercomputer and world-class data facilities. This role sits at the intersection of AI at scale and HPC, giving you unmatched resources to prototype new ideas, run large ablations, and translate methods
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Qualifications: Ph.D. in electrical, electronics, or VLSI engineering; computer engineering; computer science; computational science; or a closely related field completed within five years of application Strong
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well as electromagnetic, structural and thermal FEA programs (i.e. MagNet, Motor CAD, ANSYS and COMSOL) Capable of carrying designs through to prototype build and test. Be cognizant and knowledgeable about motor drive