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research teams: 1) The AI Group: Experts in systems, control, optimization, Large Language Model (LLM) training, domain adaptation, and instruction tuning, agentic AI orchestration, and reinforcement
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human health. Within this mission, the Casale Group in the Health Data Science Centre develops AI methods that transform population-scale human data into mechanistic models of disease. Our research
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Postdoctoral Research Associate to support the work of Prof Fabrizio Nevola. Digital Humanities 3D Developer with expertise in 3D modelling (particularly in Blender, and a familiarity with H-BIM), photogrammetry
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theoretical groups at Uppsala University and other Swedish universities with a research focus on functional magnetic materials. Requirements PhD degree in physics or a foreign degree equivalent to a PhD degree
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watermarks. Publishing research in leading journals and conferences in speech, audio, and machine learning, and contributing to open-source releases of software, trained models, and reproducible research
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mixing. Publishing research in leading journals and conferences in speech, audio, and machine learning, and contributing to open-source releases of software, trained models, and reproducible research
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A Research Associate post is available at Lancaster to work on the upgrade of the ATLAS experiment at the CERN Large Hadron Collider. The post will focus on computing and software upgrade program of
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to the project): PhD in Computer Science, Distributed Software Architectures, Artificial Intelligence, or a related discipline. Strong research background in data management, including policy governance or data
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checks with advanced machine learning architectures, specifically Long Short-Term Memory (LSTM) networks and Variational Autoencoders (VAEs). The researcher will use historical QC archives dating back
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. Key duties involve driving foundational research and system development in Edge AI and decentralized learning architectures. Responsibilities encompass conducting independent systems-level research