108 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" "UCL" research jobs at Carnegie Mellon University in United States
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university’s creative, dedicated and close-knit community. We place emphasis on practical problem solving, interdisciplinary learning, a visionary spirit, and collaboration. The Computer Science Department (CSD
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you for our team, where you’ll collaborate to deliver high-quality results in the emerging area of AI security. The CERT Division of the Software Engineering Institute (SEI) is seeking applicants
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work, data analysis, software testing, or a related area required Undergraduate or Graduate degree in Materials Science Engineering or similar field preferred Background or coursework in materials
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you for our team, where you’ll collaborate to deliver high-quality results in the emerging area of AI security. The CERT Division of the Software Engineering Institute (SEI) is seeking applicants
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reviewing and synthesizing current and emerging literature on social engineering, phishing, and the application of AI in cybersecurity. 2. Managing and testing the first version of a countermeasure android
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you for our team, where you’ll collaborate to deliver high-quality results in the emerging area of AI security. The CERT Division of the Software Engineering Institute (SEI) is seeking applicants
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Assistant. The assistant will work closely with AI-SDM leadership and CMU LTI faculty on research initiatives at the intersection of language technology and Indigenous languages. Core Responsibilities
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for someone who shares our values and who will support the mission of the university through their work. Qualifications: Bachelor’s degree in neuroscience or related field (biology, engineering, computer
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of computer graphics, human-computer interaction, computer vision, and machine learning. Conducting comprehensive literature reviews in related areas, including deep generative models, image and video synthesis
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Spinoza's Theological-Political Treatise, this Schmidt Sciences-funded phase integrates large language models with computer vision to systematically uncover hidden networks of controversial printing during