399 computational-physics "https:" "https:" "https:" "https:" "Caltech" uni jobs at Carnegie Mellon University
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generative AI and large language models, computer vision, multimodal AI, agentic AI, and assurance of AI systems. Additionally, we craft metrics and experimental designs for large-scale cybersecurity research
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wisdom across the SEI AI Division. Requirements: BS in Computer Science or related discipline with eight (8) years of experience; MS in the same fields with five (5) years of experience; PhD in
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of International Education, EM Marketing & Communications and Enrollment Systems. Collaborate with strategic campus partners such as Institutional Effectiveness & Planning, Computing Services
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machine learning methods. Technical Experimentation: You will experiment with modern and emerging machine learning frameworks, methods, and algorithms in application domains that include computer vision
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of International Education, EM Marketing & Communications and Enrollment Systems. Collaborate with strategic campus partners such as Institutional Effectiveness & Planning, Computing Services
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challenges. Requirements: Enrolled in a degree granting program. Willingness to travel to various locations to support the SEI’s overall mission. This includes within the SEI and CMU community. You will be
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& statistical mechanics, and topology. Familiarity or expertise in formalization and computer-aided reasoning in mathematics is an added plus. Exceptional candidates in all areas will also be considered. In
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The Carnegie Mellon University Department of Athletics, Physical Education and Recreation will have a transformative impact through multicultural programs that inspire leadership, collaboration
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, or presentation; writes technical reports. May build and validate quantitative models. Identifies problems and obstacles to progress; develops strategies to solve problems. May program software in support of job
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technology research, such as AI, computer science, engineering and robotics, CMU is now poised to strengthen its support and commitment for innovators and founders across all domains. During its first decade