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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
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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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of degradation pathways and shelf-life prediction. The aim of project is the safe integration of machine learning methods within the biopharmaceutical development process. This project offers an opportunity to be
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audio formats (e.g., ambisonics, binaural and object-based audio) Programming (e.g., real-time audio, games engine, machine learning toolboxes, git) Physical acoustics (e.g., sound properties, room modes
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learning, computer vision, and robotics for precise navigation and lung sampling. This role involves research on sensor-driven localization, mapping, and autonomous navigation, contributing to cutting-edge
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About the Role A fantastic opportunity has arisen for a Senior Research Fellow to join the Power Electronics, Machines and Drives Research Institute (PEMC) at the University of Nottingham and become
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include: (1) creation of real-time indicators of digital connectivity by gender at granular spatial resolution using social media, population and survey datasets, and statistical and machine learning
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or machine learning methods Advanced knowledge of electronic healthcare records and their use in development and validation of risk prediction models Knowledge in application of econometrics in research
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and machine learning approaches; and/or (2) analysis of the social and demographic impacts of digital expansion, especially from a gender perspective, using quasi-experimental methods. The research
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transport, health, energy, manufacturing, and smart cities. To be successful you will have: PhD in Computer Science, Data Science, Machine Learning, Electrical Engineering, or a related field with focus