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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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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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, machine learning, data modeling, computational linguistics, and cultural analytics. Candidates with PhDs from a wide variety of disciplines are welcome - the initiative is interdisciplinary and will involve
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support for developing and assessing innovative educational practices. Candidates should have a PhD by the start of the appointment. The successful candidate will teach and advise students in our
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. utilities, libraries, plugins) Experience with parallel file systems (e.g. Lustre, GPFS) Experience in high performance computing (HPC) environment. Experience with configuration management software such as
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a related discipline with 10 years of experience; OR an MS in the same fields with 8 years of experience; OR a PhD with 5 years of experience. You have hands-on experience with Rockwell Automation
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a related discipline with 10 years of experience; OR an MS in the same fields with 8 years of experience; OR a PhD with 5 years of experience. You have hands-on experience with Rockwell Automation
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a related discipline with 10 years of experience; OR an MS in the same fields with 8 years of experience; OR a PhD with 5 years of experience. You have hands-on experience with Rockwell Automation
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who shares our values and who will support the mission of the university through their work. Qualifications: A PhD degree is required. 1-3 years of experience is required Experience working in