452 cloud-computing-"https:"-"https:"-"https:"-"https:"-"https:"-"https:"-"https:" positions at Carnegie Mellon University in United States
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sponsors Willingness to guide and mentor junior team members Requirements A bachelor’s degree in computer science, statistics, machine learning, electrical engineering, or related discipline with ten (10
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state of practice, emerging trends and opportunities in industry and government Experience working with Department of War and Intelligence Community preferred Requirements BS in Robotics, Computer
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AI/ML Vulnerability Analysis Intern What We Do: The SEI helps advance software engineering principles and practices and serves as a national resource in software engineering, computer security, and
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: 2023954 AI/ML Vulnerability Analysis Intern What We Do: The SEI helps advance software engineering principles and practices and serves as a national resource in software engineering, computer security, and
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AI/ML Vulnerability Analysis Intern What We Do: The SEI helps advance software engineering principles and practices and serves as a national resource in software engineering, computer security, and
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, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits , take well-deserved breaks with ample paid
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given to candidates who have shown outstanding promise or excellence in teaching. Candidates must also display evidence of a strong continuing research program and potential for mentoring and advising
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of experience, an MS with 5 years of experience, or a PhD with 2 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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through their work. Qualifications: Bachelor’s degree in IT, computer science, human computer interaction, graphic, design, media production, or other related fields 2+ years of experience in UX design and
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approaches). AI at the tactical edge, enabling capability under constrained compute/connectivity through efficient inference, compression, rapid adaptation, and update/redeploy patterns. Key Responsibilities