435 phd-computer-science-"IMPRS-ML"-"IMPRS-ML"-"IMPRS-ML" positions at Carnegie Mellon University
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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances
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, faculty members, researchers, and students are revolutionizing focus areas in advanced manufacturing, bioengineering, computational engineering, energy and the environment, product design, and robotics. In
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through their work. Qualifications: High School Degree or Equivalent Required BS in an engineering or computer science discipline or related field Preferred A strong record of successful software
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Carnegie Mellon University (CMU), a global leader in research and innovation, invites candidates to apply for the newly created role of Associate Vice President for Research Computing and Data (AVP
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Carnegie Mellon University is a private, global research university that stands among the world’s most renowned education institutions. With ground-breaking brain science, path-breaking performances
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engineering, computer science, and information and communication technology, as well as a rich history of entrepreneurship. CMU is dedicated to producing creative and technically strong engineers who have a
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CMIST is a university-wide institute that integrates Carnegie Mellon’s leadership in computer science and engineering with its distinguished tradition of interdisciplinary research. Combining
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design, robotics, computational engineering, advanced manufacturing, and bioengineering. In addition, they are using their expertise in interdisciplinary research centers across the university. We
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that cross disciplines. We approach scientific problems from fresh angles using creative interdisciplinary approaches while drawing on our strengths in the core social sciences. Tepper faculty members
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-specific projects with academic and private-sector researchers to develop and test prototype solutions applying high performance computing capabilities to data science challenges. Support the deployment and