466 computer-science-intern-"https:"-"https:"-"https:"-"https:"-"BioData"-"BioData" positions at Carnegie Mellon University
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the engineering team in the Biorobotics lab. Conduct original research and help develop new methods. Identifies problems and obstacles to progress; develops strategies to solve problems. May program software in
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. Stakeholder Collaboration and Communication: Partner with internal stakeholders across program, contracts, and accounting functions to ensure coordinated financial management. Translate complex financial
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of experience, an MS with 8 years of experience, or a PhD with 5 years of experience in Computer Science, Electrical Engineering, or a related field. You’ve worked in a collaborative team environment as a
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with researchers, government customers, and other engineers, and contribute to technical strategy for the lab. Required Qualifications B.S. in Computer Science, Electrical Engineering, Statistics
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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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What We Do: The SEI helps advance software engineering principles and practices and serves as a national resource in software engineering and computer security. The SEI works closely with academia
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. Stakeholder Collaboration and Communication: Partner with internal stakeholders across program, contracts, and accounting functions to ensure coordinated financial management. Translate complex financial
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, we want to hear from you! Requirements: BS in data science, machine learning, computer science, statistics, or related highly-quantitative discipline with eight (8) years of experience or equivalent
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; ensuring project deadlines are met. Engineering mechanical and system components for robot experimental setups. Maintaining administrative records and tracking and adhering to established budgets. Collecting
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What We Do At the SEI Artificial Intelligence Division, we conduct research in applied artificial intelligence and the engineering questions related to the practical design and implementation of AI