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This project focuses on developing algorithms capable of automatically identifying and categorizing mobile ringtones. This involves leveraging machine learning techniques to analyze audio signals
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currently lead a community-wide movement to mature the discipline of AI Engineering for Defense and National Security. As our government customers adopt AI and machine learning to provide leap-ahead mission
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language processing, and more. We own and operate the entire technology stack for Machine Learning Operations. This ensures that the models we build translate into secure, reliable, and actionable outcomes across
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University of North Carolina at Chapel Hill | Chapel Hill, North Carolina | United States | about 5 hours ago
No Position Type Permanent Staff (EHRA NF) Working Title Learning Specialist Appointment Type EHRA Non-Faculty Position Number 20075080 Vacancy ID NF0009617 Full Time/Part Time Full-Time Permanent FTE 1 Hours
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Senior Machine Learning Engineer (Full‑Stack / Applied‑Research) – Mission Innovation Lab At the SEI AI Division, we conduct research in applied artificial intelligence and the engineering questions
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Learning Services is the primary entry point for most UNSW Library clients. It operates at scale, across multiple channels, and handles a wide spectrum of enquiries, from routine to highly complex. This role
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evaluation, and technical advisory. Position Summary As a Machine Learning Research Scientist in the Frontier Lab, you will conduct applied AI/ML research and develop prototype capabilities that inform and
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application! We are looking for a research engineer within the Division of Statistics and Machine Learning (STIMA) at the Department of Computer and Information Science. In this position, you will have the
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Machine Learning without Centralized Training Data”, https://ai.googleblog.com/2017/04/federated-learning-collaborative.html [2] “Learning with Privacy at Scale”, https://machinelearning.apple.com/research
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from talented and highly motivated candidates to pursue a PhD in machine learning at KTH, Sweden, and NTU, Singapore. This is a fully funded, joint doctoral position that will lead to a joint PhD degree