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working with NLP in general and LLMs in particular. They will also help to further develop machine learning models to predict clinical outcomes. Familiarity with current methods in this area is essential
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manufacturing. You should have interest in or experience with data-driven methods, including machine learning, Python programming, or data curation. Regular reports of research progress are required and research
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at the agent’s level. The project will bring together ideas from Statistics, Probability, Machine Learning, Statistics and Game Theory and is an ambitious 10M Euro project funded by ERC (UK component from the UKRI
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Radio Frequency (RF) Systems: Extensive knowledge on network management and control Software Defined Radio (SDR): Data Analysis and Processing Programming and Software Development AI/Machine Learning (AI
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manufacturing. You should have interest in or experience with data-driven methods, including machine learning, Python programming, or data curation. Regular reports of research progress are required and research
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of machine learning protocols for reaction optimisation and mapping chemical reaction space. You will work alongside other members of the team at the University of Leeds in the Institute for Process Research
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) Programming (e.g., real-time audio, games engine, machine learning toolboxes, git) Acoustics (e.g., sound properties, room modes, reverberation, HRTFs) Participatory research (e.g., formal listening tests
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programmes within the Department of Classics, Ancient History, Religion and Theology. This will include the design, development and production of teaching and learning material, and the delivery of teaching
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smart cities. To be successful you will have: PhD in Computer Science, Data Science, Machine Learning, Electrical Engineering, or a related field with focus on speech processing, edge computing, TinyML
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narratives that are relevant to them. To facilitate finding suitable narratives, we aim to design and evaluate a machine learning based artificial intelligence recommender system to filter narratives based