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recommendations and learn from experience to improve wireless network energy efficiency. The research combines large language models, multi-agent systems, reinforcement learning and knowledge evolution
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internet, and contemporary democracy . About Northeastern University: Established in 1898, Northeastern University stands as a leader in global experiential learning and interdisciplinary
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About us We are seeking to appoint a postdoctoral research fellow with an excellent track record in knowledge graphs, semantic technologies, and machine learning. Topics of interest in this area include
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nonlinear system identification, optimisation, computational complexity, and data-driven modelling, with the long-term objective of extending these ideas to modern AI and machine learning models. The
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machine learning, with proven experience working with large language models: including fine-tuning, prompt engineering, and evaluation of LLM outputs 3. Experience or demonstrated interest in