474 computing-"https:"-"https:"-"https:"-"UCL" positions at Carnegie Mellon University
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, working directly with Department of War (DoW) program offices and stakeholders to help them navigate complex technical, organizational, and acquisition challenges. This position emphasizes leadership
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of benefits including comprehensive medical, prescription, dental, and vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with
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Responsibilities Design, implement, and evaluate state‑of‑the‑art ML models (computer‑vision, NLP, planning, etc.) using frameworks such as TensorFlow, PyTorch, Torch, or Caffe. Build and maintain robust data
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, working directly with Department of War (DoW) program offices and stakeholders to help them navigate complex technical, organizational, and acquisition challenges. This position emphasizes leadership
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-oriented computer network. Hands on experience with switches, firewalls routers, network storage, and virtualized environments. Experience supporting cloud compute environments is preferred. Experience as a
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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, computer security, and process improvement. The SEI works
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, working directly with Department of War (DoW) program offices and stakeholders to help them navigate complex technical, organizational, and acquisition challenges. This position emphasizes leadership
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analytical, problem-solving, and critical-thinking skills. Excellent written and verbal communication skills. Qualifications: Bachelor’s Degree - Information Systems, Computer Science or related field 3
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advances software engineering principles and practices and serves as a national resource in software engineering and computer security. The SEI works closely with academia, defense and government
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generative AI and large language models, computer vision, multimodal AI, agentic AI, and assurance of AI systems. Additionally, we craft metrics and experimental designs for large-scale cybersecurity research