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. Joerg Hoffmann at University of Saarland. 2) 1-2 PhD students working with Prof. Hendrik Blockeel and/or Prof. Jesse Davis on the topic of developing novel approaches for learning, compressing, and
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(e.g., model compression/simplification and hardware-aware optimization). We are also interested in how resource-efficiency interacts with broader sustainability aspects of machine learning such as
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‑based work to support model development and validation. The ideal candidate will have a strong quantitative background and an interest in coding and applying modelling approaches to real-world biosecurity
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Apply to Newcastle Portal In ‘Course choice’ tab: Type of Study - ‘Postgraduate Research’ Mode of Study - ‘Full Time’ Year of Entry - ‘2026’ Course code - ‘8440F’ Research Area – Leave Blank Press
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personalised media experience, as formulated in SMPTE ST 2110 suite of standards for video, audio and data over IP. This research asses the implications for public interest media of these fundamental changes and
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Rolls-Royce UltraFan has completely changed the architecture of the compression system. This has opened the design space and means that new technologies that can improve performance and reduce fuel burn
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and interpretability, analogous to RAG (Retrieval-Augmented Generation) in LLMs Investigating methods for improving AI model sustainability, e.g. model compression techniques (such as quantization and
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-MP every year for their doctoral research. Watch some of the short videos in the MPI-MP's media library to learn more about the institute and our research. The University of Potsdam ranks within
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and servers such as gradient compression, asynchronous training, reduced synchronization frequency, semantic communication, and design of new application and transport layer protocols. Data management
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statistics This PhD project falls under the collaboration between Research Thrust RT2 Physics-based models, and Research Thrust RT3 on representation, compression, learning, and inference. For long-distance