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Field
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; strong physical, mathematical, and computational background; experience with programming in at least one general-purpose language (preferably Julia) and parallel computing; demonstrated effective written
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current practice). Demonstrated expertise in AI/ML. Proven track record in application performance optimization. Advanced experience with parallel programming models (e.g., OpenMP, MPI, CUDA). Extensive
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research computing, systems engineering, or a closely related technical field supporting research environments Hands-on experience managing HPC clusters, job schedulers, and parallel file systems  PREFERRED
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while maintaining leadership and end user expectations. Utilize several applications to communicate and manage end user interactions. Provide superior customer service to end users and parallel central
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research environments Hands-on experience managing HPC clusters, job schedulers, and parallel file systems PREFERRED QUALIFICATIONS Experience in a university or research institution setting Knowledge of IT
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dynamics (algorithms and current practice). Experience in AI/ML. Experience in application performance optimization. Familiarity with parallel programming models (e.g., OpenMP, MPI, CUDA). Experience
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current practice). Demonstrated expertise in AI/ML. Proven track record in application performance optimization. Advanced experience with parallel programming models (e.g., OpenMP, MPI, CUDA). Extensive
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large-scale power system simulation and model reduction techniques. • Hands-on experience with EMT/Phasor-domain-based power system transient simulator development. • Knowledge of parallel and
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. The Department has grown substantially in the past 15 years, from 40 to 150 faculty in parallel with the remarkable growth of our hospital-based affiliated systems. Our work is evidence based and focused
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an enrollment of approximately 5,000 students in occupational/technical programs and university-parallel/college transfer programs. Teach 18 credit hours (in-person day and evening classes as well as synchronous