374 engineering-computation "https:" "https:" "https:" "https:" "https:" "https:" "https:" "UCL" uni jobs at Carnegie Mellon University
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, computer vision, time series forecasting, and other predictive analytics. You will collaborate closely with senior researchers, software engineers, and government sponsors to define problem statements
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) content and announcements Track assignment submissions Coordinate logistics for activities, speakers, or simulations Support classroom technology or instructional tools Student Engagement: Foster supportive
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models such as GPT and LLaMA, designing and deploying agentic workflows, as well as apply and advance traditional ML research and engineering across domains such as natural language processing, computer
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Carnegie Mellon University’s Robotics Institute is searching for a Robotics Engineer to join their team. This is an exciting opportunity for someone who thrives in an interesting and challenging
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, knowledge‑sharing, and supportive collaboration Required Qualifications: Bachelor’s degree in Computer Science, Engineering, Physics, or a related technical field At least 3 years of experience developing
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Systems (S3D) is one of the seven academic departments of the Carnegie Mellon School of Computer Science (SCS). S3D hosts the SCS PhD programs in Software Engineering (SE) and Societal Computing (SC), along
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The Computing Services central IT department provides services that have a strategic impact on university goals. We make service decisions based on interaction and valuable input from colleagues
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algorithms to analyze and recognize multimodal human behavior in real world settings (e.g., Affective Computing, AI for Healthcare: pain measurement, monitoring mental health disorders). The successful
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Software Engineers to work at the intersection of state of the art computer science and cutting edge astrophysics. The engineers will design and build analysis frameworks that run on the cloud or high
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curious to deliver work that matters, your journey starts here! The Ray and Stephanie Lane Computational Biology Department (CBD) at Carnegie Mellon University is renowned for its interdisciplinary approach