463 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"BioData" positions at Carnegie Mellon University
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to the Lead Financial Analyst, this role works closely with program and directorate leadership to ensure accurate financial information, sound planning, and strong financial stewardship in a compliance-driven
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extracurricular activities (e.g., reading groups, internal talks, technical sharing) and contribute to a strong technical culture. Requirements Education / Experience: BS in Electrical Engineering, Computer Science
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elements such as NAVSEA, NAVAIR, NAVWAR, NAVFAC, NIWC or their predecessors such as SPAWAR Education and Experience Requirements: BS in Computer Science, Electrical Engineering, or a related discipline with
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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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in computer science, statistics, machine learning, electrical engineering, or related discipline with ten (10) years of experience; OR MS in the same fields with eight (8) years of experience; OR PhD
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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
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resource in software engineering, computer security, and process improvement. The SEI works closely with defense and government organizations, industry, and academia to continually improve software-intensive
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Mellon University. We are in search of a team member who can effectively interact with a varied population of internal and external partners at a high level of integrity. We are looking for someone who
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with internal partners to ensure smooth execution of visit schedules, room bookings, and related needs. Communication & Document Support: draft, proofread, and edit email correspondence, meeting notes
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political attitudes, reducing belief in conspiracy theories, and, more recently, increasing belief in them. The research sits at the intersection of AI safety and behavioral science, examining both