394 computer "https:" "https:" "https:" "https:" "UCL" uni jobs at Carnegie Mellon University
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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
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: 2024202 Carnegie Mellon University's department of Athletics is searching for an (Senior) Associate Head Coach in its NCAA Division III program. The direct position group in which this position will be
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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
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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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. Qualifications: Bachelor's degree required. Three to five years of event planning, customer service, or guest relations experience. Familiarity with Salesforce preferred. Knowledge of various computer applications
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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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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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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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-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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machine learning methods. Technical Experimentation: You will experiment with modern and emerging machine learning frameworks, methods, and algorithms in application domains that include computer vision