475 assistant-professor-computer-"https:"-"https:"-"https:"-"https:" positions at Carnegie Mellon University
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the admissions process. Responds to routine and non-routine inquiries from applicants concerning the application process, notification, financial aid information, visa requirements, conditions, and program
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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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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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vision insurance as well as a generous retirement savings program with employer contributions. Unlock your potential with tuition benefits , take well-deserved breaks with ample paid time off and
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management, coaching, and performance support. Assist with professional development planning and help build team capability through cross-training, knowledge sharing, and clear expectations for quality
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to solve some of the most difficult software challenges that our government faces. Requirements: Current enrollment in a degree granting program such as Computer Science, Electrical Engineering, Computer
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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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to patent prosecution. Core Responsibilities: Coordinating the patent prosecution process by assisting Licensing Managers in meeting law firm deadlines, providing docket reports, and leading all aspects
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savings program with employer contributions. Unlock your potential with tuition benefits , take well-deserved breaks with ample paid time off and observed holidays , and rest easy with life and accidental
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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