400 data-"https:" "https:" "https:" "https:" "https:" "https:" "https:" "Univ" uni jobs at Carnegie Mellon University in United States
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to solve some of the most difficult software challenges that our government faces. Requirements: Current enrollment in a degree granting program such as Computer Science, Electrical Engineering, Computer
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Protective Clearance - Act 153 Valid PA driver's license Additional Information: This is a full-time (40 hours/week), non-exempt position based in Pittsburgh, PA. Sponsorship: Applicants for this position must
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most problems directly. Refers only the most difficult issues to supervisor. Works with the Convenience Copier Technician to perform monthly meter reads on copiers across campus and enters the data
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handoffs to other teams. Utilizing Carnegie Mellon’s Customer Relationship Management (CRM) system (Salesforce) and supporting systems to manage information, track interactions, and update records. Analyzing
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, creative start-ups, big data, big ambitions, hands-on learning, and a whole lot of robots, CMU doesn’t imagine the future, we invent it. If you’re passionate about joining a community that challenges the
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communication tools. Additional Information: Sponsorship: Applicants for this position must be currently legally authorized to work for CMU in the United States. CMU will not sponsor or take over the sponsorship
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requirements listed above. Requirements: Successful Background Checks Child Protective Clearances for PA and all states lived in prior five years. Additional Information: Sponsorship : Applicants
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the supervision of Project Lead Simon DeDeo. Help publish and share this research with the wider academic community, including conducting experiments, gathering, visualizing, and analyzing data, aiding in
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demonstrated may be considered. Requirements: Successful completion of a pre-employment background check Child Protection Clearances (Act 153) Additional Information: Sponsorship: Applicants for this position
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development approaches and methods for mitigating vulnerabilities associated with the inclusion of machine learning in autonomous systems. Modeling and Simulation: Use simulation to develop techniques for data