424 web-programmer-developer-"https:"-"https:"-"https:"-"https:"-"UCL" positions at Carnegie Mellon University
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to turn research results into prototype operational capabilities for government customers and stakeholders. Strategy: You'll work with the leadership team and colleagues to plan, develop, and carry out
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". The primary purpose of this position is to develop and train Large Language Model (LLM) agents to solve software engineering tasks by solving the "cold-start" problem in Reinforcement Learning (RL). Core
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plans Applying AI and NLP concepts to technologies aimed at improving mental health Developing and testing generalizable principles of a social skills, simulation-based training environment Help
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. This project provides a vibrant learning environment for all the trainees. The PI is committed to the professional development of the postdoc associate in addition to their technical excellence. Core
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humanity. We are studying the bigger picture of computing in context in order to develop tools, policies, methods, and much more – all in the same making the world a safer, more equitable, better place to
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the correctness of the data reported externally and make recommendations based on these analyses and benchmarking data. Assist with additional external reporting submissions as needed. Dashboard Development and
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Malware analysis and reverse engineering capability development Program analysis research Emerging threats analysis Requirements: Enrolled in a degree granting program. Willingness to travel to various
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capabilities and develop or acquire the right software, defect free, within budget and on time, every time. The CERT Division of the Software Engineering Institute (SEI) is seeking an applicant for the role of a
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capabilities and develop or acquire the right software, defect free, within budget and on time, every time. The CERT Division of the Software Engineering Institute (SEI) is seeking an applicant for the role of a
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: 2024073 As AI-enabled autonomous systems get closer to widespread deployment, fundamental research questions remain around their development and use, especially in high-stakes environments. How can we