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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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. 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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world. Qualifications PhD (or equivalent international degree) or enrolled in PhD (or equivalent international degree generating program) at the time of application. Candidates will be expected to complete their PhD
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in computer science, statistics, machine learning, electrical engineering, or related discipline with three (3) years of experience; OR MS in the same fields with one (1) year of experience; OR PhD in
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in computer science, statistics, machine learning, electrical engineering, or related discipline with eight (8) years of experience; OR MS in the same fields with one (1) year of experience; OR PhD in
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the field of Computer Science. Perform other academic duties as required. Must have a PhD in Computer Science or a closely related field and prior experience teaching at the university level. Carnegie Mellon
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in computer science, statistics, machine learning, electrical engineering, or related discipline with eight (8) years of experience; OR MS in the same fields with one (1) year of experience; OR PhD in
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, commensurate with the salary, related to service committees or teaching. Work location flexibility may be considered where appropriate. PhD in Economics. Established track record of interdisciplinary
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, and empty the fridge of leftover food weekly. Keeps inventory of kitchen and office supplies for the department. Maintains coffee machines in the PhD suites and staff/faculty kitchen. Places orders